From 38cbedf280da695f1aadc585b625b3428cffd684 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 11:17:46 +0200
Subject: [PATCH 01/38] initialise_specs_from_primitives


From b652623ec3437de7a25802da4e2a0f77f02695a0 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 12:51:17 +0200
Subject: [PATCH 02/38] update 5 files

---
 src/timeseriesflattener/aggregators.py     | 44 ++++++++++++++-
 src/timeseriesflattener/specs/outcome.py   | 62 +++++++++++++++++++++-
 src/timeseriesflattener/specs/static.py    | 14 +++++
 src/timeseriesflattener/specs/temporal.py  | 32 ++++++++++-
 src/timeseriesflattener/specs/timedelta.py | 21 ++++++++
 5 files changed, 170 insertions(+), 3 deletions(-)

diff --git a/src/timeseriesflattener/aggregators.py b/src/timeseriesflattener/aggregators.py
index 659a4724..041af936 100644
--- a/src/timeseriesflattener/aggregators.py
+++ b/src/timeseriesflattener/aggregators.py
@@ -2,9 +2,11 @@
 
 import datetime as dt
 from abc import ABC, abstractmethod
+from typing import Literal, Sequence
 
 import polars as pl
 from attr import dataclass
+from timeseriesflattener.specs import timestamp
 
 
 def validate_compatible_fallback_type_for_aggregator(
@@ -18,6 +20,46 @@ def validate_compatible_fallback_type_for_aggregator(
         )
 
 
+AggregatorName = Literal[
+    "max",
+    "min",
+    "mean",
+    "sum",
+    "count",
+    "variance",
+    "bool",
+    "change_per_day",
+    "slope",
+    "has_values",
+]
+
+
+def strings_to_aggregators(
+    aggregator_names: Sequence[AggregatorName], timestamp_col_name: str
+) -> Sequence[Aggregator]:
+    return [
+        string_to_aggregator(name, timestamp_col_name=timestamp_col_name)
+        for name in aggregator_names
+    ]
+
+
+def string_to_aggregator(aggregator_name: AggregatorName, timestamp_col_name: str) -> Aggregator:
+    str2aggr: dict[AggregatorName, Aggregator] = {
+        "max": MaxAggregator(),
+        "min": MinAggregator(),
+        "mean": MeanAggregator(),
+        "sum": SumAggregator(),
+        "count": CountAggregator(),
+        "variance": VarianceAggregator(),
+        "bool": HasValuesAggregator(),
+        "change_per_day": SlopeAggregator(timestamp_col_name=timestamp_col_name),
+        "slope": SlopeAggregator(timestamp_col_name=timestamp_col_name),
+        "has_values": HasValuesAggregator(),
+    }
+
+    return str2aggr[aggregator_name]
+
+
 class Aggregator(ABC):
     name: str
     output_type: type[float | int | bool]
@@ -125,7 +167,7 @@ def __call__(self, column_name: str) -> pl.Expr:
 
 
 class HasValuesAggregator(Aggregator):
-    """Examines whether any values exist in the column. If so, returns True, else False."""
+    """Examines whether any values exist in the look window. If so, returns True, else False."""
 
     name: str = "bool"
     output_type = bool
diff --git a/src/timeseriesflattener/specs/outcome.py b/src/timeseriesflattener/specs/outcome.py
index 18622081..d33c20fe 100644
--- a/src/timeseriesflattener/specs/outcome.py
+++ b/src/timeseriesflattener/specs/outcome.py
@@ -8,7 +8,11 @@
 
 from ..validators import validate_col_name_columns_exist
 from .value import ValueFrame, lookdistance_to_normalised_lookperiod
-from ..aggregators import validate_compatible_fallback_type_for_aggregator
+from ..aggregators import (
+    AggregatorName,
+    strings_to_aggregators,
+    validate_compatible_fallback_type_for_aggregator,
+)
 
 if TYPE_CHECKING:
     from collections.abc import Sequence
@@ -17,6 +21,14 @@
     from .timestamp import TimestampValueFrame
 
 
+def _lookdistance_to_timedelta(
+    lookdistance: float | tuple[float, float],
+) -> tuple[dt.timedelta, dt.timedelta]:
+    if isinstance(lookdistance, tuple):
+        return (dt.timedelta(days=lookdistance[0]), dt.timedelta(days=lookdistance[1]))
+    return (dt.timedelta(days=0), dt.timedelta(days=lookdistance))
+
+
 @dataclass
 class OutcomeSpec:
     """Specification for an outcome. If your outcome is binary/boolean, you can use BooleanOutcomeSpec instead."""
@@ -44,6 +56,30 @@ def __post_init__(
     def df(self) -> pl.DataFrame:
         return self.value_frame.df
 
+    @staticmethod
+    def from_primitives(
+        df: pl.DataFrame,
+        entity_id_col_name: str,
+        lookahead_days: Sequence[float | tuple[float, float]],
+        aggregators: Sequence[AggregatorName],
+        value_timestamp_col_name: str = "timestamp",
+        column_prefix: str = "outc",
+    ) -> OutcomeSpec:
+        """Create an OutcomeSpec from primitives."""
+        lookahead_distances = [_lookdistance_to_timedelta(d) for d in lookahead_days]
+
+        return OutcomeSpec(
+            value_frame=ValueFrame(
+                init_df=df,
+                entity_id_col_name=entity_id_col_name,
+                value_timestamp_col_name=value_timestamp_col_name,
+            ),
+            lookahead_distances=lookahead_distances,
+            aggregators=strings_to_aggregators(aggregators, value_timestamp_col_name),
+            fallback=0,
+            column_prefix=column_prefix,
+        )
+
 
 @dataclass
 class BooleanOutcomeSpec:
@@ -81,3 +117,27 @@ def __post_init__(self, init_frame: TimestampValueFrame):
     @property
     def df(self) -> pl.DataFrame:
         return self.value_frame.df
+
+    @staticmethod
+    def from_primitives(
+        df: pl.DataFrame,
+        entity_id_col_name: str,
+        lookahead_days: Sequence[float | tuple[float, float]],
+        aggregators: Sequence[AggregatorName],
+        value_timestamp_col_name: str = "timestamp",
+        column_prefix: str = "outc",
+    ) -> BooleanOutcomeSpec:
+        """Create an OutcomeSpec from primitives."""
+        lookahead_distances = [_lookdistance_to_timedelta(d) for d in lookahead_days]
+
+        return BooleanOutcomeSpec(
+            init_frame=TimestampValueFrame(
+                init_df=df,
+                value_timestamp_col_name=value_timestamp_col_name,
+                entity_id_col_name=entity_id_col_name,
+            ),
+            lookahead_distances=lookahead_distances,
+            aggregators=strings_to_aggregators(aggregators, value_timestamp_col_name),
+            output_name=column_prefix,
+            column_prefix=column_prefix,
+        )
diff --git a/src/timeseriesflattener/specs/static.py b/src/timeseriesflattener/specs/static.py
index 63f53c6a..15cab5d0 100644
--- a/src/timeseriesflattener/specs/static.py
+++ b/src/timeseriesflattener/specs/static.py
@@ -38,3 +38,17 @@ class StaticSpec:
     value_frame: StaticFrame
     column_prefix: str
     fallback: int | float | str | None
+
+    @staticmethod
+    def from_primitives(
+        df: pl.DataFrame,
+        entity_id_col_name: str,
+        column_prefix: str,
+        fallback: int | float | str | None,
+    ) -> StaticSpec:
+        """Create a StaticSpec from primitives."""
+        return StaticSpec(
+            value_frame=StaticFrame(init_df=df, entity_id_col_name=entity_id_col_name),
+            column_prefix=column_prefix,
+            fallback=fallback,
+        )
diff --git a/src/timeseriesflattener/specs/temporal.py b/src/timeseriesflattener/specs/temporal.py
index 829aeaeb..7e9ca930 100644
--- a/src/timeseriesflattener/specs/temporal.py
+++ b/src/timeseriesflattener/specs/temporal.py
@@ -4,9 +4,15 @@
 from dataclasses import InitVar, dataclass
 from typing import TYPE_CHECKING
 
+from timeseriesflattener.specs.outcome import _lookdistance_to_timedelta
+
 from ..validators import validate_col_name_columns_exist
 from .value import ValueFrame, lookdistance_to_normalised_lookperiod
-from ..aggregators import validate_compatible_fallback_type_for_aggregator
+from ..aggregators import (
+    AggregatorName,
+    strings_to_aggregators,
+    validate_compatible_fallback_type_for_aggregator,
+)
 
 if TYPE_CHECKING:
     from collections.abc import Sequence
@@ -48,3 +54,27 @@ def __post_init__(
     @property
     def df(self) -> pl.DataFrame:
         return self.value_frame.df
+
+    @staticmethod
+    def from_primitives(
+        df: pl.DataFrame,
+        lookbehind_days: Sequence[float | tuple[float, float]],
+        aggregators: Sequence[AggregatorName],
+        value_timestamp_col_name: str = "timestamp",
+        column_prefix: str = "pred",
+        fallback: int | float | str | None = 0,
+    ) -> PredictorSpec:
+        """Create a PredictorSpec from primitives."""
+        lookbehind_distances = [_lookdistance_to_timedelta(d) for d in lookbehind_days]
+
+        return PredictorSpec(
+            value_frame=ValueFrame(
+                init_df=df,
+                entity_id_col_name=df.get_column(df.columns[0]).name,
+                value_timestamp_col_name=value_timestamp_col_name,
+            ),
+            lookbehind_distances=lookbehind_distances,
+            aggregators=strings_to_aggregators(aggregators, value_timestamp_col_name),
+            fallback=fallback,
+            column_prefix=column_prefix,
+        )
diff --git a/src/timeseriesflattener/specs/timedelta.py b/src/timeseriesflattener/specs/timedelta.py
index 21459f54..427ddd55 100644
--- a/src/timeseriesflattener/specs/timedelta.py
+++ b/src/timeseriesflattener/specs/timedelta.py
@@ -52,3 +52,24 @@ def __post_init__(self):
     @property
     def df(self) -> pl.DataFrame:
         return self.value_frame.df
+
+    @staticmethod
+    def from_primitives(
+        df: pl.DataFrame,
+        entity_id_col_name: str,
+        output_name: str,
+        value_timestamp_col_name: str = "timestamp",
+        column_prefix: str = "pred",
+        fallback: int | float | str | None = 0,
+    ) -> TimeDeltaSpec:
+        """Create a TimeDeltaSpec from primitives."""
+        return TimeDeltaSpec(
+            init_frame=TimestampValueFrame(
+                init_df=df,
+                value_timestamp_col_name=value_timestamp_col_name,
+                entity_id_col_name=entity_id_col_name,
+            ),
+            fallback=fallback,
+            output_name=output_name,
+            column_prefix=column_prefix,
+        )

From e245b8a1ef2a2b42892d3f5584bd5b8072b37beb Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 12:59:14 +0200
Subject: [PATCH 03/38] update 5 files

---
 docs/tutorials/01_basic.ipynb             | 26 +++++++++++++++++++++--
 src/timeseriesflattener/aggregators.py    | 25 +++++++++++-----------
 src/timeseriesflattener/specs/__init__.py | 10 +++++++++
 src/timeseriesflattener/specs/outcome.py  |  9 +-------
 src/timeseriesflattener/specs/temporal.py |  2 +-
 5 files changed, 48 insertions(+), 24 deletions(-)

diff --git a/docs/tutorials/01_basic.ipynb b/docs/tutorials/01_basic.ipynb
index a83e1571..1ad41332 100644
--- a/docs/tutorials/01_basic.ipynb
+++ b/docs/tutorials/01_basic.ipynb
@@ -602,6 +602,16 @@
                 "\n",
                 "test_df = pd.DataFrame({\"entity_id\": [0], \"timestamp\": [pd.Timestamp(\"2020-01-01\")]})\n",
                 "\n",
+                "outcome_spec = BooleanOutcomeSpec.from_primitives(\n",
+                "    df=test_df,\n",
+                "    entity_id_col_name=\"entity_id\",\n",
+                "    value_timestamp_col_name=\"timestamp\",\n",
+                "    lookahead_days=[365],\n",
+                "    aggregators=[\"max\"],\n",
+                "    column_prefix=\"outc\",\n",
+                ")\n",
+                "\n",
+                "# Alternatively, if you prefer types\n",
                 "outcome_spec = BooleanOutcomeSpec(\n",
                 "    init_frame=TimestampValueFrame(\n",
                 "        entity_id_col_name=\"entity_id\", init_df=test_df, value_timestamp_col_name=\"timestamp\"\n",
@@ -664,6 +674,18 @@
                 "from timeseriesflattener import PredictorSpec, StaticSpec\n",
                 "from timeseriesflattener.aggregators import MeanAggregator\n",
                 "\n",
+                "temporal_predictor_spec = PredictorSpec.from_primitives(\n",
+                "    df=df_synth_predictors.rename({\"value\": \"value_1\"}),\n",
+                "    entity_id_col_name=\"entity_id\",\n",
+                "    value_timestamp_col_name=\"timestamp\",\n",
+                "    aggregators=[MeanAggregator()],\n",
+                "    column_prefix=\"pred\",\n",
+                "    fallback=np.nan,\n",
+                "    lookbehind_distances=[dt.timedelta(days=730)],\n",
+                ")\n",
+                "\n",
+                "# Alternatively, if you prefer types\n",
+                "\n",
                 "temporal_predictor_spec = PredictorSpec(\n",
                 "    value_frame=ValueFrame(\n",
                 "        entity_id_col_name=\"entity_id\",\n",
@@ -802,7 +824,7 @@
             "cell_type": "markdown",
             "metadata": {},
             "source": [
-                "Note that we don't need to specify which columns to aggregate. Timeseriesflattener aggregates all columns that are not `entity_id_col_name` or `value_timestamp_col_name` and uses the name(s) of the column(s) for the output."
+                "Note that we don't need to specify which columns to aggregate. Timeseriesflattener aggregates all columns that are not `entity_id_col_name` or `value_timestamp_col_name` and uses the name(s) of the column(s) for the output.\n"
             ]
         },
         {
@@ -1191,4 +1213,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/src/timeseriesflattener/aggregators.py b/src/timeseriesflattener/aggregators.py
index 041af936..baa65e39 100644
--- a/src/timeseriesflattener/aggregators.py
+++ b/src/timeseriesflattener/aggregators.py
@@ -6,7 +6,6 @@
 
 import polars as pl
 from attr import dataclass
-from timeseriesflattener.specs import timestamp
 
 
 def validate_compatible_fallback_type_for_aggregator(
@@ -21,16 +20,16 @@ def validate_compatible_fallback_type_for_aggregator(
 
 
 AggregatorName = Literal[
+    "bool",
+    "change_per_day",
+    "count",
+    "has_values",
     "max",
-    "min",
     "mean",
+    "min",
+    "slope",
     "sum",
-    "count",
     "variance",
-    "bool",
-    "change_per_day",
-    "slope",
-    "has_values",
 ]
 
 
@@ -45,16 +44,16 @@ def strings_to_aggregators(
 
 def string_to_aggregator(aggregator_name: AggregatorName, timestamp_col_name: str) -> Aggregator:
     str2aggr: dict[AggregatorName, Aggregator] = {
+        "bool": HasValuesAggregator(),
+        "change_per_day": SlopeAggregator(timestamp_col_name=timestamp_col_name),
+        "count": CountAggregator(),
+        "has_values": HasValuesAggregator(),
         "max": MaxAggregator(),
-        "min": MinAggregator(),
         "mean": MeanAggregator(),
+        "min": MinAggregator(),
+        "slope": SlopeAggregator(timestamp_col_name=timestamp_col_name),
         "sum": SumAggregator(),
-        "count": CountAggregator(),
         "variance": VarianceAggregator(),
-        "bool": HasValuesAggregator(),
-        "change_per_day": SlopeAggregator(timestamp_col_name=timestamp_col_name),
-        "slope": SlopeAggregator(timestamp_col_name=timestamp_col_name),
-        "has_values": HasValuesAggregator(),
     }
 
     return str2aggr[aggregator_name]
diff --git a/src/timeseriesflattener/specs/__init__.py b/src/timeseriesflattener/specs/__init__.py
index e69de29b..1d19fe15 100644
--- a/src/timeseriesflattener/specs/__init__.py
+++ b/src/timeseriesflattener/specs/__init__.py
@@ -0,0 +1,10 @@
+from __future__ import annotations
+import datetime as dt
+
+
+def _lookdistance_to_timedelta(
+    lookdistance: float | tuple[float, float],
+) -> tuple[dt.timedelta, dt.timedelta]:
+    if isinstance(lookdistance, tuple):
+        return (dt.timedelta(days=lookdistance[0]), dt.timedelta(days=lookdistance[1]))
+    return (dt.timedelta(days=0), dt.timedelta(days=lookdistance))
diff --git a/src/timeseriesflattener/specs/outcome.py b/src/timeseriesflattener/specs/outcome.py
index d33c20fe..04e3f815 100644
--- a/src/timeseriesflattener/specs/outcome.py
+++ b/src/timeseriesflattener/specs/outcome.py
@@ -5,6 +5,7 @@
 from typing import TYPE_CHECKING
 
 import polars as pl
+from timeseriesflattener.specs import _lookdistance_to_timedelta
 
 from ..validators import validate_col_name_columns_exist
 from .value import ValueFrame, lookdistance_to_normalised_lookperiod
@@ -21,14 +22,6 @@
     from .timestamp import TimestampValueFrame
 
 
-def _lookdistance_to_timedelta(
-    lookdistance: float | tuple[float, float],
-) -> tuple[dt.timedelta, dt.timedelta]:
-    if isinstance(lookdistance, tuple):
-        return (dt.timedelta(days=lookdistance[0]), dt.timedelta(days=lookdistance[1]))
-    return (dt.timedelta(days=0), dt.timedelta(days=lookdistance))
-
-
 @dataclass
 class OutcomeSpec:
     """Specification for an outcome. If your outcome is binary/boolean, you can use BooleanOutcomeSpec instead."""
diff --git a/src/timeseriesflattener/specs/temporal.py b/src/timeseriesflattener/specs/temporal.py
index 7e9ca930..5eaf56ce 100644
--- a/src/timeseriesflattener/specs/temporal.py
+++ b/src/timeseriesflattener/specs/temporal.py
@@ -4,7 +4,7 @@
 from dataclasses import InitVar, dataclass
 from typing import TYPE_CHECKING
 
-from timeseriesflattener.specs.outcome import _lookdistance_to_timedelta
+from timeseriesflattener.specs import _lookdistance_to_timedelta
 
 from ..validators import validate_col_name_columns_exist
 from .value import ValueFrame, lookdistance_to_normalised_lookperiod

From 32387fd8208c3dec6cbd1089fd335814b327eb80 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 13:01:32 +0200
Subject: [PATCH 04/38] update outcome.py

---
 src/timeseriesflattener/specs/outcome.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/src/timeseriesflattener/specs/outcome.py b/src/timeseriesflattener/specs/outcome.py
index 04e3f815..a85a5a21 100644
--- a/src/timeseriesflattener/specs/outcome.py
+++ b/src/timeseriesflattener/specs/outcome.py
@@ -15,11 +15,12 @@
     validate_compatible_fallback_type_for_aggregator,
 )
 
+from .timestamp import TimestampValueFrame
+
 if TYPE_CHECKING:
     from collections.abc import Sequence
 
     from ..aggregators import Aggregator
-    from .timestamp import TimestampValueFrame
 
 
 @dataclass

From 431463d6aa48ee9b85923f40235f464efe1720fb Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 13:05:09 +0200
Subject: [PATCH 05/38] update temporal.py

---
 src/timeseriesflattener/specs/temporal.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/src/timeseriesflattener/specs/temporal.py b/src/timeseriesflattener/specs/temporal.py
index 5eaf56ce..be45a0fa 100644
--- a/src/timeseriesflattener/specs/temporal.py
+++ b/src/timeseriesflattener/specs/temporal.py
@@ -58,6 +58,7 @@ def df(self) -> pl.DataFrame:
     @staticmethod
     def from_primitives(
         df: pl.DataFrame,
+        entity_id_col_name: str,
         lookbehind_days: Sequence[float | tuple[float, float]],
         aggregators: Sequence[AggregatorName],
         value_timestamp_col_name: str = "timestamp",
@@ -70,7 +71,7 @@ def from_primitives(
         return PredictorSpec(
             value_frame=ValueFrame(
                 init_df=df,
-                entity_id_col_name=df.get_column(df.columns[0]).name,
+                entity_id_col_name=entity_id_col_name,
                 value_timestamp_col_name=value_timestamp_col_name,
             ),
             lookbehind_distances=lookbehind_distances,

From 6cf50781971821f3988d81a44822499fd73d92ee Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 13:38:15 +0200
Subject: [PATCH 06/38] build(deps): update Dockerfile, 01_basic.ipynb and
 pyproject.toml

---
 .dockerignore                 |  170 ++
 Dockerfile                    |   31 +-
 docs/tutorials/01_basic.ipynb |    7 +
 pyproject.toml                |    2 +-
 uv.lock                       | 3343 +++++++++++++++++++++++++++++++++
 5 files changed, 3524 insertions(+), 29 deletions(-)
 create mode 100644 .dockerignore
 create mode 100644 uv.lock

diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 00000000..f2ce4167
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1,170 @@
+# Byte-compiled / optimized / DLL files
+.git
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+poetry.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+*venv*/
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# Testing
+pytest-coverage.txt
+
+# Mac
+.DS_Store
+
+#other
+*test_load_data.py
+wandb
+poetry.lock
+*.html
+
+# PyCharm
+/.idea/*
+**/tmp/
+**/.tmp/
+
+*nbconvert*
+.testmondata*
+.benchmark_cache/*
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile
index 16b347ae..165372d1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,35 +1,10 @@
 FROM python:3.9
-
-RUN apt-get update && apt-get install -y curl
-
-# NVM and NPM are required for Graphite
-# Install nvm
-# Explicitly set HOME environment variable 
-ENV NVM_DIR=$HOME/.nvm
-RUN mkdir -p $NVM_DIR
-ENV NODE_VERSION=18.2.0
-
-# Install nvm with node and npm
-RUN curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.5/install.sh | bash \
-    && . $NVM_DIR/nvm.sh \
-    && nvm install $NODE_VERSION \
-    && nvm alias default $NODE_VERSION \
-    && nvm use default
-
-ENV NODE_PATH=$NVM_DIR/v$NODE_VERSION/lib/node_modules
-ENV PATH=$NVM_DIR/versions/node/v$NODE_VERSION/bin:$PATH
-
-
-# Install graphite (PR stacking), experimental, can be deleted without notice
-RUN npm install -g @withgraphite/graphite-cli@stable
-
-# Install lefthook (git hooks, e.g. pre-commit)
-RUN curl -1sLf 'https://dl.cloudsmith.io/public/evilmartians/lefthook/setup.deb.sh' | bash
-RUN apt install lefthook
+COPY --from=ghcr.io/astral-sh/uv:0.4.0 /uv /bin/uv
 
 # Set the working directory to /app
 WORKDIR /app
 VOLUME psycop-common
 
 COPY . /app
-RUN --mount=type=cache,target=/root/.cache/pip pip install .
\ No newline at end of file
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv sync --frozen
\ No newline at end of file
diff --git a/docs/tutorials/01_basic.ipynb b/docs/tutorials/01_basic.ipynb
index 1ad41332..08fa7161 100644
--- a/docs/tutorials/01_basic.ipynb
+++ b/docs/tutorials/01_basic.ipynb
@@ -637,6 +637,13 @@
                 "Lastly, we specify a name of the outcome which'll be used when generating its column.\n"
             ]
         },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": []
+        },
         {
             "attachments": {},
             "cell_type": "markdown",
diff --git a/pyproject.toml b/pyproject.toml
index a870ffe4..b8163b92 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -21,7 +21,7 @@ classifiers = [
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
 ]
-requires-python = ">=3.8.0,<3.13.0"
+requires-python = ">=3.9.0,<3.13.0"
 dependencies = [
   "scipy>=1.8.0",
   "scikit-learn>=1.1.2",
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 00000000..5b9af8c5
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,3343 @@
+version = 1
+requires-python = ">=3.9.0, <3.13.0"
+resolution-markers = [
+    "python_full_version < '3.11'",
+    "python_full_version == '3.11.*'",
+    "python_full_version < '3.13'",
+    "python_full_version >= '3.13'",
+]
+
+[[package]]
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From 84c008a12ac95fc64d5f0c43e1c1c4b3f0babee6 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 13:44:09 +0200
Subject: [PATCH 07/38] update Dockerfile and aggregators.py

---
 Dockerfile                             | 4 ++--
 src/timeseriesflattener/aggregators.py | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 165372d1..e3e34623 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -6,5 +6,5 @@ WORKDIR /app
 VOLUME psycop-common
 
 COPY . /app
-RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --frozen
\ No newline at end of file
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install .
\ No newline at end of file
diff --git a/src/timeseriesflattener/aggregators.py b/src/timeseriesflattener/aggregators.py
index baa65e39..30a470df 100644
--- a/src/timeseriesflattener/aggregators.py
+++ b/src/timeseriesflattener/aggregators.py
@@ -192,7 +192,7 @@ class SlopeAggregator(Aggregator):
 
     def __call__(self, column_name: str) -> pl.Expr:
         # Convert to days for the slope. Arbitrarily chosen to be the number of days since 1970-01-01.
-        x_col = (pl.col(self.timestamp_col_name) - dt.datetime(1970, 1, 1)).dt.days()
+        x_col = (pl.col(self.timestamp_col_name) - dt.datetime(1970, 1, 1)).dt.total_days()
         y_col = pl.col(column_name)
 
         numerator = pl.corr(x_col, y_col, propagate_nans=True) * y_col.std()

From d55c2eb38821dc6a563e5b9c9771bffbb26e1d6c Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 13:44:33 +0200
Subject: [PATCH 08/38] build: update Dockerfile

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index e3e34623..f12b2b40 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -6,5 +6,5 @@ WORKDIR /app
 VOLUME psycop-common
 
 COPY . /app
-RUN --mount=type=cache,target=/root/.cache/pip \
-    pip install .
\ No newline at end of file
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv sync --frozen --all-extras
\ No newline at end of file

From 9cc48d5bf57942d777ed531c31959ed939a6481d Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 13:50:14 +0200
Subject: [PATCH 09/38] build: update Dockerfile

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index f12b2b40..d8e4d884 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,5 @@
 FROM python:3.9
+ENV UV_SYSTEM_PYTHON=true
 COPY --from=ghcr.io/astral-sh/uv:0.4.0 /uv /bin/uv
 
 # Set the working directory to /app

From 2dac3fdb830724f31dbbac7be6cba3f4b3d04ef5 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 13:52:29 +0200
Subject: [PATCH 10/38] docs: update 01_basic.ipynb

---
 docs/tutorials/01_basic.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/tutorials/01_basic.ipynb b/docs/tutorials/01_basic.ipynb
index 08fa7161..d2c65f60 100644
--- a/docs/tutorials/01_basic.ipynb
+++ b/docs/tutorials/01_basic.ipynb
@@ -758,7 +758,7 @@
                 "    aggregators=[MeanAggregator()],\n",
                 "    column_prefix=\"pred\",\n",
                 "    fallback=np.nan,\n",
-                "    lookbehind_distances=[(dt.timedelta(days=10), dt.timedelta(days=365))],\n",
+                "    lookbehind_days=[(dt.timedelta(days=10), dt.timedelta(days=365))],\n",
                 ")"
             ]
         },

From 52a11aa46642181bd8ac0af5dfdd20bf37bcd997 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 14:03:17 +0200
Subject: [PATCH 11/38] build(deps): update action.yml, 01_basic.ipynb,
 pyproject.toml and uv.lock

---
 .github/actions/test/action.yml |   2 +-
 docs/tutorials/01_basic.ipynb   |   6 +-
 pyproject.toml                  |   2 +
 uv.lock                         | 140 +++++++++++++++++++++++++++++++-
 4 files changed, 144 insertions(+), 6 deletions(-)

diff --git a/.github/actions/test/action.yml b/.github/actions/test/action.yml
index 90525809..c7800d53 100644
--- a/.github/actions/test/action.yml
+++ b/.github/actions/test/action.yml
@@ -26,4 +26,4 @@ runs:
       uses: devcontainers/ci@v0.3
       with:
         runCmd: |
-          inv test --pytest-args "src/" --pytest-args --pytest-args "--cov=src" --pytest-args "--cov-report term-missing" --pytest-args="--color=yes" --pytest-args="-n auto"
\ No newline at end of file
+          inv test --pytest-args="-n auto"
\ No newline at end of file
diff --git a/docs/tutorials/01_basic.ipynb b/docs/tutorials/01_basic.ipynb
index d2c65f60..5791b182 100644
--- a/docs/tutorials/01_basic.ipynb
+++ b/docs/tutorials/01_basic.ipynb
@@ -685,10 +685,10 @@
                 "    df=df_synth_predictors.rename({\"value\": \"value_1\"}),\n",
                 "    entity_id_col_name=\"entity_id\",\n",
                 "    value_timestamp_col_name=\"timestamp\",\n",
-                "    aggregators=[MeanAggregator()],\n",
+                "    aggregators=[\"mean\"],\n",
                 "    column_prefix=\"pred\",\n",
                 "    fallback=np.nan,\n",
-                "    lookbehind_distances=[dt.timedelta(days=730)],\n",
+                "    lookbehind_days=[730],\n",
                 ")\n",
                 "\n",
                 "# Alternatively, if you prefer types\n",
@@ -758,7 +758,7 @@
                 "    aggregators=[MeanAggregator()],\n",
                 "    column_prefix=\"pred\",\n",
                 "    fallback=np.nan,\n",
-                "    lookbehind_days=[(dt.timedelta(days=10), dt.timedelta(days=365))],\n",
+                "    lookbehind_distances=[(dt.timedelta(days=10), dt.timedelta(days=365))],\n",
                 ")"
             ]
         },
diff --git a/pyproject.toml b/pyproject.toml
index b8163b92..53b244ad 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -38,6 +38,7 @@ dependencies = [
   "polars>0.19.0",
   "iterpy==1.6.0",
   "rich>=13.0.0",
+  "ipykernel[docs]>=6.29.5",
 ]
 
 [project.license]
@@ -61,6 +62,7 @@ test = [
   "pytest-codspeed==2.2.0",
 ]
 docs = [
+  "ipykernel",
   "sphinx==5.3.0",
   "furo==2023.3.27",
   "sphinx-copybutton==0.5.2",
diff --git a/uv.lock b/uv.lock
index 5b9af8c5..ff7b74ec 100644
--- a/uv.lock
+++ b/uv.lock
@@ -3,10 +3,24 @@ requires-python = ">=3.9.0, <3.13.0"
 resolution-markers = [
     "python_full_version < '3.11'",
     "python_full_version == '3.11.*'",
-    "python_full_version < '3.13'",
+    "python_full_version < '3.11'",
+    "python_full_version == '3.11.*'",
+    "python_full_version == '3.12.*'",
     "python_full_version >= '3.13'",
 ]
 
+[[package]]
+name = "accessible-pygments"
+version = "0.0.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pygments" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/bc/c1/bbac6a50d02774f91572938964c582fff4270eee73ab822a4aeea4d8b11b/accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872", size = 1377899 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/8d/3f/95338030883d8c8b91223b4e21744b04d11b161a3ef117295d8241f50ab4/accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7", size = 1395903 },
+]
+
 [[package]]
 name = "alabaster"
 version = "0.7.16"
@@ -887,6 +901,17 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/94/5c/368ae6c01c7628438358e6d337c19b05425727fbb221d2a3c4303c372f42/ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5", size = 117173 },
 ]
 
+[package.optional-dependencies]
+docs = [
+    { name = "myst-parser" },
+    { name = "pydata-sphinx-theme" },
+    { name = "sphinx" },
+    { name = "sphinx-autodoc-typehints" },
+    { name = "sphinxcontrib-github-alt" },
+    { name = "sphinxcontrib-spelling" },
+    { name = "trio" },
+]
+
 [[package]]
 name = "ipython"
 version = "8.18.1"
@@ -1678,6 +1703,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/f4/5f/fafd8c51235f60d49f7a88e2275e13971e90555b67da52dd6416caec32fe/numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0", size = 15709730 },
 ]
 
+[[package]]
+name = "outcome"
+version = "1.3.0.post0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "attrs" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/98/df/77698abfac98571e65ffeb0c1fba8ffd692ab8458d617a0eed7d9a8d38f2/outcome-1.3.0.post0.tar.gz", hash = "sha256:9dcf02e65f2971b80047b377468e72a268e15c0af3cf1238e6ff14f7f91143b8", size = 21060 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/55/8b/5ab7257531a5d830fc8000c476e63c935488d74609b50f9384a643ec0a62/outcome-1.3.0.post0-py2.py3-none-any.whl", hash = "sha256:e771c5ce06d1415e356078d3bdd68523f284b4ce5419828922b6871e65eda82b", size = 10692 },
+]
+
 [[package]]
 name = "overrides"
 version = "7.7.0"
@@ -2131,6 +2168,36 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/07/8b/30233f741e16b35499fa2fad2f4a69eb127eec6c850a1b14af26e7b08b73/pydantic_core-2.20.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a6d511cc297ff0883bc3708b465ff82d7560193169a8b93260f74ecb0a5e08a7", size = 1915399 },
 ]
 
+[[package]]
+name = "pydata-sphinx-theme"
+version = "0.15.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "accessible-pygments" },
+    { name = "babel" },
+    { name = "beautifulsoup4" },
+    { name = "docutils" },
+    { name = "packaging" },
+    { name = "pygments" },
+    { name = "sphinx" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/67/ea/3ab478cccacc2e8ef69892c42c44ae547bae089f356c4b47caf61730958d/pydata_sphinx_theme-0.15.4.tar.gz", hash = "sha256:7762ec0ac59df3acecf49fd2f889e1b4565dbce8b88b2e29ee06fdd90645a06d", size = 2400673 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e7/d3/c622950d87a2ffd1654208733b5bd1c5645930014abed8f4c0d74863988b/pydata_sphinx_theme-0.15.4-py3-none-any.whl", hash = "sha256:2136ad0e9500d0949f96167e63f3e298620040aea8f9c74621959eda5d4cf8e6", size = 4640157 },
+]
+
+[[package]]
+name = "pyenchant"
+version = "3.2.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/b1/a3/86763b6350727ca81c8fcc5bb5bccee416e902e0085dc7a902c81233717e/pyenchant-3.2.2.tar.gz", hash = "sha256:1cf830c6614362a78aab78d50eaf7c6c93831369c52e1bb64ffae1df0341e637", size = 49580 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/54/4c/a741dddab6ad96f257d90cb4d23067ffadac526c9cab3a99ca6ce3c05477/pyenchant-3.2.2-py3-none-any.whl", hash = "sha256:5facc821ece957208a81423af7d6ec7810dad29697cb0d77aae81e4e11c8e5a6", size = 55660 },
+    { url = "https://files.pythonhosted.org/packages/01/44/1e9a273d230abf5c961750a75e42b449adfb61eb446f80b6523955d2a4a2/pyenchant-3.2.2-py3-none-win32.whl", hash = "sha256:5a636832987eaf26efe971968f4d1b78e81f62bca2bde0a9da210c7de43c3bce", size = 11884084 },
+    { url = "https://files.pythonhosted.org/packages/49/96/2087455de16b08e86fa7ce70b53ddac5fcc040c899d9ebad507a0efec52d/pyenchant-3.2.2-py3-none-win_amd64.whl", hash = "sha256:6153f521852e23a5add923dbacfbf4bebbb8d70c4e4bad609a8e0f9faeb915d1", size = 11890882 },
+]
+
 [[package]]
 name = "pygments"
 version = "2.18.0"
@@ -2209,7 +2276,7 @@ dependencies = [
     { name = "cffi" },
     { name = "filelock" },
     { name = "pytest" },
-    { name = "setuptools" },
+    { name = "setuptools", marker = "python_full_version >= '3.12'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/4e/2b/b0377084bede8a86b66c03118216e8f8f9912a414667d5ae610ae3942384/pytest_codspeed-2.2.0.tar.gz", hash = "sha256:665003fc20117b64a98d16ffd1008f5bd6bf3b1e9af142b98c00abff7f626bbd", size = 9130 }
 wheels = [
@@ -2818,6 +2885,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ed/dc/c02e01294f7265e63a7315fe086dd1df7dacb9f840a804da846b96d01b96/snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a", size = 93002 },
 ]
 
+[[package]]
+name = "sortedcontainers"
+version = "2.4.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e8/c4/ba2f8066cceb6f23394729afe52f3bf7adec04bf9ed2c820b39e19299111/sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88", size = 30594 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/32/46/9cb0e58b2deb7f82b84065f37f3bffeb12413f947f9388e4cac22c4621ce/sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0", size = 29575 },
+]
+
 [[package]]
 name = "soupsieve"
 version = "2.6"
@@ -2855,6 +2931,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/67/a7/01dd6fd9653c056258d65032aa09a615b5d7b07dd840845a9f41a8860fbc/sphinx-5.3.0-py3-none-any.whl", hash = "sha256:060ca5c9f7ba57a08a1219e547b269fadf125ae25b06b9fa7f66768efb652d6d", size = 3183160 },
 ]
 
+[[package]]
+name = "sphinx-autodoc-typehints"
+version = "1.23.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "sphinx" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/46/30/9764a2c735c655c3065f32072fb3d8c6fd5dda8df294d4e9f05670d60e31/sphinx_autodoc_typehints-1.23.0.tar.gz", hash = "sha256:5d44e2996633cdada499b6d27a496ddf9dbc95dd1f0f09f7b37940249e61f6e9", size = 35945 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/60/be/792b64ddacfcff362062077689ce37eb9750b9924fc0a14f623fa71ffaf6/sphinx_autodoc_typehints-1.23.0-py3-none-any.whl", hash = "sha256:ac099057e66b09e51b698058ba7dd76e57e1fe696cd91b54e121d3dad188f91d", size = 17896 },
+]
+
 [[package]]
 name = "sphinx-basic-ng"
 version = "1.0.0b2"
@@ -2909,6 +2997,19 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/35/7a/987e583882f985fe4d7323774889ec58049171828b58c2217e7f79cdf44e/sphinxcontrib_devhelp-2.0.0-py3-none-any.whl", hash = "sha256:aefb8b83854e4b0998877524d1029fd3e6879210422ee3780459e28a1f03a8a2", size = 82530 },
 ]
 
+[[package]]
+name = "sphinxcontrib-github-alt"
+version = "1.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "docutils" },
+    { name = "sphinx" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b8/d5/2880f4f441f3b46f264cb031d9e7135714b5060c895c8a6458051002c41a/sphinxcontrib_github_alt-1.2.tar.gz", hash = "sha256:cfd7584d559bb89a1dde3b418fea3b5b8e601e1f50459873635256b5d1712af5", size = 4015 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/70/12/d9b6bf8093906108017f3cdbecae3e2b3b4963c5112b28f0cd482b433182/sphinxcontrib_github_alt-1.2-py2.py3-none-any.whl", hash = "sha256:cdd1f61090e9ca1f317283dc85b311d788864d7e41baa479882c9fc914b43641", size = 4269 },
+]
+
 [[package]]
 name = "sphinxcontrib-htmlhelp"
 version = "2.1.0"
@@ -2945,6 +3046,19 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/52/a7/d2782e4e3f77c8450f727ba74a8f12756d5ba823d81b941f1b04da9d033a/sphinxcontrib_serializinghtml-2.0.0-py3-none-any.whl", hash = "sha256:6e2cb0eef194e10c27ec0023bfeb25badbbb5868244cf5bc5bdc04e4464bf331", size = 92072 },
 ]
 
+[[package]]
+name = "sphinxcontrib-spelling"
+version = "8.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pyenchant" },
+    { name = "sphinx" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/38/88/d8d0e4ff3087199db984bd03d1d17c413bcdcdde0f5120d3cc0b4c8806b3/sphinxcontrib-spelling-8.0.0.tar.gz", hash = "sha256:199d0a16902ad80c387c2966dc9eb10f565b1fb15ccce17210402db7c2443e5c", size = 37610 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/87/f9/ec57149c1ab20efed1305aa89fbcd7a9e4a8edf9ef5fe9b75bdb13e1964e/sphinxcontrib_spelling-8.0.0-py3-none-any.whl", hash = "sha256:b27e0a16aef00bcfc888a6490dc3f16651f901dc475446c6882834278c8dc7b3", size = 16436 },
+]
+
 [[package]]
 name = "sphinxext-opengraph"
 version = "0.8.2"
@@ -3066,6 +3180,7 @@ dependencies = [
     { name = "catalogue" },
     { name = "coloredlogs" },
     { name = "frozendict" },
+    { name = "ipykernel", extra = ["docs"] },
     { name = "iterpy" },
     { name = "numpy" },
     { name = "pandas" },
@@ -3089,6 +3204,7 @@ dev = [
 ]
 docs = [
     { name = "furo" },
+    { name = "ipykernel" },
     { name = "myst-nb" },
     { name = "sphinx" },
     { name = "sphinx-copybutton" },
@@ -3116,6 +3232,8 @@ requires-dist = [
     { name = "frozendict", specifier = ">=2.3.4" },
     { name = "furo", marker = "extra == 'docs'", specifier = "==2023.3.27" },
     { name = "invoke", marker = "extra == 'dev'", specifier = "==2.1.1" },
+    { name = "ipykernel", marker = "extra == 'docs'" },
+    { name = "ipykernel", extras = ["docs"], specifier = ">=6.29.5" },
     { name = "iterpy", specifier = "==1.6.0" },
     { name = "jupyter", marker = "extra == 'tutorials'", specifier = ">=1.0.0,<1.1.0" },
     { name = "myst-nb", marker = "extra == 'docs'", specifier = "==0.17.2" },
@@ -3207,6 +3325,24 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/00/c0/8f5d070730d7836adc9c9b6408dec68c6ced86b304a9b26a14df072a6e8c/traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f", size = 85359 },
 ]
 
+[[package]]
+name = "trio"
+version = "0.26.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "attrs" },
+    { name = "cffi", marker = "implementation_name != 'pypy' and os_name == 'nt'" },
+    { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
+    { name = "idna" },
+    { name = "outcome" },
+    { name = "sniffio" },
+    { name = "sortedcontainers" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9a/03/ab0e9509be0c6465e2773768ec25ee0cb8053c0b91471ab3854bbf2294b2/trio-0.26.2.tar.gz", hash = "sha256:0346c3852c15e5c7d40ea15972c4805689ef2cb8b5206f794c9c19450119f3a4", size = 561156 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1c/70/efa56ce2271c44a7f4f43533a0477e6854a0948e9f7b76491de1fd3be7c9/trio-0.26.2-py3-none-any.whl", hash = "sha256:c5237e8133eb0a1d72f09a971a55c28ebe69e351c783fc64bc37db8db8bbe1d0", size = 475996 },
+]
+
 [[package]]
 name = "typeguard"
 version = "4.2.1"

From a63f636faffd0a8dab7ed7f2960b856e92bd53aa Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 14:04:22 +0200
Subject: [PATCH 12/38] build(deps): update pyproject.toml and uv.lock

---
 pyproject.toml | 2 +-
 uv.lock        | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 53b244ad..54fa5b65 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -62,13 +62,13 @@ test = [
   "pytest-codspeed==2.2.0",
 ]
 docs = [
-  "ipykernel",
   "sphinx==5.3.0",
   "furo==2023.3.27",
   "sphinx-copybutton==0.5.2",
   "sphinxext-opengraph==0.8.2",
   "myst-nb==0.17.2",
   "sphinx_design==0.3.0",
+  "ipykernel>=6.29.5",
 ]
 tutorials = ["jupyter>=1.0.0,<1.1.0", "skimpy>=0.0.11"]
 
diff --git a/uv.lock b/uv.lock
index ff7b74ec..2a63910b 100644
--- a/uv.lock
+++ b/uv.lock
@@ -3232,7 +3232,7 @@ requires-dist = [
     { name = "frozendict", specifier = ">=2.3.4" },
     { name = "furo", marker = "extra == 'docs'", specifier = "==2023.3.27" },
     { name = "invoke", marker = "extra == 'dev'", specifier = "==2.1.1" },
-    { name = "ipykernel", marker = "extra == 'docs'" },
+    { name = "ipykernel", marker = "extra == 'docs'", specifier = ">=6.29.5" },
     { name = "ipykernel", extras = ["docs"], specifier = ">=6.29.5" },
     { name = "iterpy", specifier = "==1.6.0" },
     { name = "jupyter", marker = "extra == 'tutorials'", specifier = ">=1.0.0,<1.1.0" },

From d317a64b00f0d2089bd40bd09095119f20a7b6c0 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 14:07:14 +0200
Subject: [PATCH 13/38] update devcontainer.json and post-start.sh

---
 .devcontainer/post-start.sh | 12 ++----------
 1 file changed, 2 insertions(+), 10 deletions(-)

diff --git a/.devcontainer/post-start.sh b/.devcontainer/post-start.sh
index 993b8501..99298641 100644
--- a/.devcontainer/post-start.sh
+++ b/.devcontainer/post-start.sh
@@ -1,10 +1,2 @@
-# Setup lefthook
-git init
-lefthook install
-
-# Disable Graphite pager
-gt user pager --disable
-
-# Install dependencies
-pip install -e ".[dev, test]"
-
+#!/bin/bash
+uv sync --frozen --all-extras
\ No newline at end of file

From 584d31c7965e10089f5d53dfd7966af19243a50f Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 14:20:32 +0200
Subject: [PATCH 14/38] update 7 files

---
 docs/tutorials/01_basic.ipynb                 | 394 ++++++++----------
 pyproject.toml                                |  20 +-
 src/timeseriesflattener/main_test.py          |   4 +-
 .../processors/temporal.py                    |   7 +-
 src/timeseriesflattener/specs/outcome.py      |   3 +-
 .../testing/load_synth_data.py                |   2 +-
 uv.lock                                       |  21 +-
 7 files changed, 197 insertions(+), 254 deletions(-)

diff --git a/docs/tutorials/01_basic.ipynb b/docs/tutorials/01_basic.ipynb
index 5791b182..07edf973 100644
--- a/docs/tutorials/01_basic.ipynb
+++ b/docs/tutorials/01_basic.ipynb
@@ -66,11 +66,11 @@
                             "│ │ Number of columns │ 2      │ │ datetime64  │ 1     │                                                          │\n",
                             "│ └───────────────────┴────────┘ └─────────────┴───────┘                                                          │\n",
                             "│ <span style=\"font-style: italic\">                                                    number                                                    </span>  │\n",
-                            "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┓  │\n",
-                            "│ ┃<span style=\"font-weight: bold\"> column_name      </span>┃<span style=\"font-weight: bold\"> NA   </span>┃<span style=\"font-weight: bold\"> NA %    </span>┃<span style=\"font-weight: bold\"> mean   </span>┃<span style=\"font-weight: bold\"> sd     </span>┃<span style=\"font-weight: bold\"> p0   </span>┃<span style=\"font-weight: bold\"> p25    </span>┃<span style=\"font-weight: bold\"> p50    </span>┃<span style=\"font-weight: bold\"> p75    </span>┃<span style=\"font-weight: bold\"> p100    </span>┃<span style=\"font-weight: bold\"> hist     </span>┃  │\n",
-                            "│ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━┩  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">entity_id       </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  5000</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2900</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2500</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  4900</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  7400</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  10000</span> │ <span style=\"color: #008000; text-decoration-color: #008000\"> ▇▇▇▇▇▇ </span> │  │\n",
-                            "│ └──────────────────┴──────┴─────────┴────────┴────────┴──────┴────────┴────────┴────────┴─────────┴──────────┘  │\n",
+                            "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┓  │\n",
+                            "│ ┃<span style=\"font-weight: bold\"> column_name      </span>┃<span style=\"font-weight: bold\"> NA   </span>┃<span style=\"font-weight: bold\"> NA %    </span>┃<span style=\"font-weight: bold\"> mean    </span>┃<span style=\"font-weight: bold\"> sd     </span>┃<span style=\"font-weight: bold\"> p0   </span>┃<span style=\"font-weight: bold\"> p25    </span>┃<span style=\"font-weight: bold\"> p50    </span>┃<span style=\"font-weight: bold\"> p75    </span>┃<span style=\"font-weight: bold\"> p100   </span>┃<span style=\"font-weight: bold\"> hist     </span>┃  │\n",
+                            "│ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━┩  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">entity_id       </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   4959</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2886</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2485</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  4922</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  7443</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  9999</span> │ <span style=\"color: #008000; text-decoration-color: #008000\"> ▇▇▇▇▇▇ </span> │  │\n",
+                            "│ └──────────────────┴──────┴─────────┴─────────┴────────┴──────┴────────┴────────┴────────┴────────┴──────────┘  │\n",
                             "│ <span style=\"font-style: italic\">                                                   datetime                                                   </span>  │\n",
                             "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓  │\n",
                             "│ ┃<span style=\"font-weight: bold\"> column_name      </span>┃<span style=\"font-weight: bold\"> NA   </span>┃<span style=\"font-weight: bold\"> NA %    </span>┃<span style=\"font-weight: bold\"> first                      </span>┃<span style=\"font-weight: bold\"> last                       </span>┃<span style=\"font-weight: bold\"> frequency    </span>┃  │\n",
@@ -90,11 +90,11 @@
                             "│ │ Number of columns │ 2      │ │ datetime64  │ 1     │                                                          │\n",
                             "│ └───────────────────┴────────┘ └─────────────┴───────┘                                                          │\n",
                             "│ \u001b[3m                                                    number                                                    \u001b[0m  │\n",
-                            "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┓  │\n",
-                            "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mmean  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msd    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp0  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp25   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp50   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp75   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp100   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mhist    \u001b[0m\u001b[1m \u001b[0m┃  │\n",
-                            "│ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━┩  │\n",
-                            "│ │ \u001b[38;5;141mentity_id       \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m      0\u001b[0m │ \u001b[36m  5000\u001b[0m │ \u001b[36m  2900\u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m  2500\u001b[0m │ \u001b[36m  4900\u001b[0m │ \u001b[36m  7400\u001b[0m │ \u001b[36m  10000\u001b[0m │ \u001b[32m ▇▇▇▇▇▇ \u001b[0m │  │\n",
-                            "│ └──────────────────┴──────┴─────────┴────────┴────────┴──────┴────────┴────────┴────────┴─────────┴──────────┘  │\n",
+                            "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┓  │\n",
+                            "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mmean   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msd    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp0  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp25   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp50   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp75   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp100  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mhist    \u001b[0m\u001b[1m \u001b[0m┃  │\n",
+                            "│ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━┩  │\n",
+                            "│ │ \u001b[38;5;141mentity_id       \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m      0\u001b[0m │ \u001b[36m   4959\u001b[0m │ \u001b[36m  2886\u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m  2485\u001b[0m │ \u001b[36m  4922\u001b[0m │ \u001b[36m  7443\u001b[0m │ \u001b[36m  9999\u001b[0m │ \u001b[32m ▇▇▇▇▇▇ \u001b[0m │  │\n",
+                            "│ └──────────────────┴──────┴─────────┴─────────┴────────┴──────┴────────┴────────┴────────┴────────┴──────────┘  │\n",
                             "│ \u001b[3m                                                   datetime                                                   \u001b[0m  │\n",
                             "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓  │\n",
                             "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mfirst                     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mlast                      \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mfrequency   \u001b[0m\u001b[1m \u001b[0m┃  │\n",
@@ -117,7 +117,7 @@
                             "  white-space: pre-wrap;\n",
                             "}\n",
                             "</style>\n",
-                            "<small>shape: (10_000, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th></tr><tr><td>i64</td><td>datetime[μs]</td></tr></thead><tbody><tr><td>0</td><td>1969-01-11 09:55:00</td></tr><tr><td>1</td><td>1965-03-15 07:16:00</td></tr><tr><td>2</td><td>1969-09-13 23:18:00</td></tr><tr><td>3</td><td>1968-02-04 16:16:00</td></tr><tr><td>4</td><td>1965-01-28 12:33:00</td></tr><tr><td>5</td><td>1967-10-09 06:22:00</td></tr><tr><td>7</td><td>1969-11-17 02:50:00</td></tr><tr><td>8</td><td>1965-12-11 02:17:00</td></tr><tr><td>9</td><td>1965-08-21 22:00:00</td></tr><tr><td>10</td><td>1965-12-26 16:45:00</td></tr><tr><td>11</td><td>1966-07-09 13:54:00</td></tr><tr><td>12</td><td>1968-01-26 22:35:00</td></tr><tr><td>&hellip;</td><td>&hellip;</td></tr><tr><td>9990</td><td>1965-11-16 21:02:00</td></tr><tr><td>9990</td><td>1967-06-09 02:48:00</td></tr><tr><td>9991</td><td>1966-07-05 03:18:00</td></tr><tr><td>9994</td><td>1965-04-20 06:19:00</td></tr><tr><td>9994</td><td>1967-05-07 04:44:00</td></tr><tr><td>9995</td><td>1968-08-23 11:30:00</td></tr><tr><td>9995</td><td>1965-11-24 05:42:00</td></tr><tr><td>9996</td><td>1965-01-30 17:19:00</td></tr><tr><td>9996</td><td>1965-07-18 17:12:00</td></tr><tr><td>9997</td><td>1967-06-08 07:52:00</td></tr><tr><td>9999</td><td>1965-07-19 14:59:00</td></tr><tr><td>9999</td><td>1968-02-07 22:24:00</td></tr></tbody></table></div>"
+                            "<small>shape: (10_000, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th></tr><tr><td>i64</td><td>datetime[μs]</td></tr></thead><tbody><tr><td>0</td><td>1969-01-11 09:55:00</td></tr><tr><td>1</td><td>1965-03-15 07:16:00</td></tr><tr><td>2</td><td>1969-09-13 23:18:00</td></tr><tr><td>3</td><td>1968-02-04 16:16:00</td></tr><tr><td>4</td><td>1965-01-28 12:33:00</td></tr><tr><td>&hellip;</td><td>&hellip;</td></tr><tr><td>9996</td><td>1965-01-30 17:19:00</td></tr><tr><td>9996</td><td>1965-07-18 17:12:00</td></tr><tr><td>9997</td><td>1967-06-08 07:52:00</td></tr><tr><td>9999</td><td>1965-07-19 14:59:00</td></tr><tr><td>9999</td><td>1968-02-07 22:24:00</td></tr></tbody></table></div>"
                         ],
                         "text/plain": [
                             "shape: (10_000, 2)\n",
@@ -177,7 +177,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 2,
             "metadata": {},
             "outputs": [
                 {
@@ -193,12 +193,12 @@
                             "│ └───────────────────┴────────┘ │ float64     │ 1     │                                                          │\n",
                             "│                                └─────────────┴───────┘                                                          │\n",
                             "│ <span style=\"font-style: italic\">                                                    number                                                    </span>  │\n",
-                            "│ ┏━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━━━┓  │\n",
-                            "│ ┃<span style=\"font-weight: bold\"> column_name     </span>┃<span style=\"font-weight: bold\"> NA   </span>┃<span style=\"font-weight: bold\"> NA %   </span>┃<span style=\"font-weight: bold\"> mean   </span>┃<span style=\"font-weight: bold\"> sd     </span>┃<span style=\"font-weight: bold\"> p0        </span>┃<span style=\"font-weight: bold\"> p25    </span>┃<span style=\"font-weight: bold\"> p50    </span>┃<span style=\"font-weight: bold\"> p75   </span>┃<span style=\"font-weight: bold\"> p100   </span>┃<span style=\"font-weight: bold\"> hist    </span>┃  │\n",
-                            "│ ┡━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━━━┩  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">entity_id      </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  5000</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2900</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">        0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2500</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  5000</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 7500</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 10000</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">▇▇▇▇▇▇ </span> │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">value          </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     5</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   2.9</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  0.00015</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   2.5</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     5</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  7.5</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    10</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">▇▇▇▇▇▇ </span> │  │\n",
-                            "│ └─────────────────┴──────┴────────┴────────┴────────┴───────────┴────────┴────────┴───────┴────────┴─────────┘  │\n",
+                            "│ ┏━━━━━━━━━━━━━━━━┳━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┓  │\n",
+                            "│ ┃<span style=\"font-weight: bold\"> column_name    </span>┃<span style=\"font-weight: bold\"> NA  </span>┃<span style=\"font-weight: bold\"> NA %  </span>┃<span style=\"font-weight: bold\"> mean    </span>┃<span style=\"font-weight: bold\"> sd      </span>┃<span style=\"font-weight: bold\"> p0          </span>┃<span style=\"font-weight: bold\"> p25    </span>┃<span style=\"font-weight: bold\"> p50    </span>┃<span style=\"font-weight: bold\"> p75    </span>┃<span style=\"font-weight: bold\"> p100  </span>┃<span style=\"font-weight: bold\"> hist   </span>┃  │\n",
+                            "│ ┡━━━━━━━━━━━━━━━━╇━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━┩  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">entity_id     </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   4994</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   2887</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">          0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2486</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  4996</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  7487</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 9999</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">▇▇▇▇▇▇</span> │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">value         </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  4.983</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2.885</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  0.0001514</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 2.483</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 4.975</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 7.486</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   10</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">▇▇▇▇▇▇</span> │  │\n",
+                            "│ └────────────────┴─────┴───────┴─────────┴─────────┴─────────────┴────────┴────────┴────────┴───────┴────────┘  │\n",
                             "│ <span style=\"font-style: italic\">                                                   datetime                                                   </span>  │\n",
                             "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓  │\n",
                             "│ ┃<span style=\"font-weight: bold\"> column_name      </span>┃<span style=\"font-weight: bold\"> NA   </span>┃<span style=\"font-weight: bold\"> NA %    </span>┃<span style=\"font-weight: bold\"> first                      </span>┃<span style=\"font-weight: bold\"> last                       </span>┃<span style=\"font-weight: bold\"> frequency    </span>┃  │\n",
@@ -219,12 +219,12 @@
                             "│ └───────────────────┴────────┘ │ float64     │ 1     │                                                          │\n",
                             "│                                └─────────────┴───────┘                                                          │\n",
                             "│ \u001b[3m                                                    number                                                    \u001b[0m  │\n",
-                            "│ ┏━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━━━┓  │\n",
-                            "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mmean  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msd    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp0       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp25   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp50   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp75  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp100  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mhist   \u001b[0m\u001b[1m \u001b[0m┃  │\n",
-                            "│ ┡━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━━━┩  │\n",
-                            "│ │ \u001b[38;5;141mentity_id      \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m  5000\u001b[0m │ \u001b[36m  2900\u001b[0m │ \u001b[36m        0\u001b[0m │ \u001b[36m  2500\u001b[0m │ \u001b[36m  5000\u001b[0m │ \u001b[36m 7500\u001b[0m │ \u001b[36m 10000\u001b[0m │ \u001b[32m▇▇▇▇▇▇ \u001b[0m │  │\n",
-                            "│ │ \u001b[38;5;141mvalue          \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m     5\u001b[0m │ \u001b[36m   2.9\u001b[0m │ \u001b[36m  0.00015\u001b[0m │ \u001b[36m   2.5\u001b[0m │ \u001b[36m     5\u001b[0m │ \u001b[36m  7.5\u001b[0m │ \u001b[36m    10\u001b[0m │ \u001b[32m▇▇▇▇▇▇ \u001b[0m │  │\n",
-                            "│ └─────────────────┴──────┴────────┴────────┴────────┴───────────┴────────┴────────┴───────┴────────┴─────────┘  │\n",
+                            "│ ┏━━━━━━━━━━━━━━━━┳━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━┓  │\n",
+                            "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA % \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mmean   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msd     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp0         \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp25   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp50   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp75   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp100 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mhist  \u001b[0m\u001b[1m \u001b[0m┃  │\n",
+                            "│ ┡━━━━━━━━━━━━━━━━╇━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━┩  │\n",
+                            "│ │ \u001b[38;5;141mentity_id     \u001b[0m │ \u001b[36m  0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m   4994\u001b[0m │ \u001b[36m   2887\u001b[0m │ \u001b[36m          0\u001b[0m │ \u001b[36m  2486\u001b[0m │ \u001b[36m  4996\u001b[0m │ \u001b[36m  7487\u001b[0m │ \u001b[36m 9999\u001b[0m │ \u001b[32m▇▇▇▇▇▇\u001b[0m │  │\n",
+                            "│ │ \u001b[38;5;141mvalue         \u001b[0m │ \u001b[36m  0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m  4.983\u001b[0m │ \u001b[36m  2.885\u001b[0m │ \u001b[36m  0.0001514\u001b[0m │ \u001b[36m 2.483\u001b[0m │ \u001b[36m 4.975\u001b[0m │ \u001b[36m 7.486\u001b[0m │ \u001b[36m   10\u001b[0m │ \u001b[32m▇▇▇▇▇▇\u001b[0m │  │\n",
+                            "│ └────────────────┴─────┴───────┴─────────┴─────────┴─────────────┴────────┴────────┴────────┴───────┴────────┘  │\n",
                             "│ \u001b[3m                                                   datetime                                                   \u001b[0m  │\n",
                             "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓  │\n",
                             "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mfirst                     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mlast                      \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mfrequency   \u001b[0m\u001b[1m \u001b[0m┃  │\n",
@@ -247,7 +247,7 @@
                             "  white-space: pre-wrap;\n",
                             "}\n",
                             "</style>\n",
-                            "<small>shape: (100_000, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th><th>value</th></tr><tr><td>i64</td><td>datetime[μs]</td><td>f64</td></tr></thead><tbody><tr><td>0</td><td>1967-06-12 14:06:00</td><td>0.174793</td></tr><tr><td>0</td><td>1968-04-15 01:45:00</td><td>3.072293</td></tr><tr><td>0</td><td>1968-12-09 05:42:00</td><td>1.315754</td></tr><tr><td>0</td><td>1969-06-20 18:07:00</td><td>2.812481</td></tr><tr><td>0</td><td>1967-11-26 01:59:00</td><td>2.981185</td></tr><tr><td>0</td><td>1968-09-07 01:45:00</td><td>0.173205</td></tr><tr><td>0</td><td>1969-02-21 03:29:00</td><td>9.943505</td></tr><tr><td>0</td><td>1967-11-26 13:45:00</td><td>5.470792</td></tr><tr><td>0</td><td>1967-05-12 12:44:00</td><td>0.970382</td></tr><tr><td>0</td><td>1965-05-03 05:23:00</td><td>6.630007</td></tr><tr><td>0</td><td>1969-10-19 10:29:00</td><td>0.799246</td></tr><tr><td>0</td><td>1969-11-25 18:39:00</td><td>2.868688</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>9999</td><td>1967-12-11 21:34:00</td><td>5.379503</td></tr><tr><td>9999</td><td>1968-05-26 12:28:00</td><td>9.645746</td></tr><tr><td>9999</td><td>1966-04-23 02:37:00</td><td>8.924175</td></tr><tr><td>9999</td><td>1968-10-24 18:47:00</td><td>2.34615</td></tr><tr><td>9999</td><td>1967-11-12 07:33:00</td><td>4.414524</td></tr><tr><td>9999</td><td>1966-07-15 20:55:00</td><td>0.684468</td></tr><tr><td>9999</td><td>1968-01-08 02:41:00</td><td>3.250538</td></tr><tr><td>9999</td><td>1968-08-19 10:15:00</td><td>0.671907</td></tr><tr><td>9999</td><td>1966-01-03 22:34:00</td><td>4.158796</td></tr><tr><td>9999</td><td>1966-06-27 10:55:00</td><td>4.414455</td></tr><tr><td>9999</td><td>1968-04-02 12:58:00</td><td>1.552491</td></tr><tr><td>9999</td><td>1969-06-24 07:19:00</td><td>4.501553</td></tr></tbody></table></div>"
+                            "<small>shape: (100_000, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th><th>value</th></tr><tr><td>i64</td><td>datetime[μs]</td><td>f64</td></tr></thead><tbody><tr><td>0</td><td>1967-06-12 14:06:00</td><td>0.174793</td></tr><tr><td>0</td><td>1968-04-15 01:45:00</td><td>3.072293</td></tr><tr><td>0</td><td>1968-12-09 05:42:00</td><td>1.315754</td></tr><tr><td>0</td><td>1969-06-20 18:07:00</td><td>2.812481</td></tr><tr><td>0</td><td>1967-11-26 01:59:00</td><td>2.981185</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>9999</td><td>1968-08-19 10:15:00</td><td>0.671907</td></tr><tr><td>9999</td><td>1966-01-03 22:34:00</td><td>4.158796</td></tr><tr><td>9999</td><td>1966-06-27 10:55:00</td><td>4.414455</td></tr><tr><td>9999</td><td>1968-04-02 12:58:00</td><td>1.552491</td></tr><tr><td>9999</td><td>1969-06-24 07:19:00</td><td>4.501553</td></tr></tbody></table></div>"
                         ],
                         "text/plain": [
                             "shape: (100_000, 3)\n",
@@ -304,7 +304,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 3,
             "metadata": {},
             "outputs": [
                 {
@@ -319,12 +319,12 @@
                             "│ │ Number of columns │ 2      │ └─────────────┴───────┘                                                          │\n",
                             "│ └───────────────────┴────────┘                                                                                  │\n",
                             "│ <span style=\"font-style: italic\">                                                    number                                                    </span>  │\n",
-                            "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┓  │\n",
-                            "│ ┃<span style=\"font-weight: bold\"> column_name      </span>┃<span style=\"font-weight: bold\"> NA   </span>┃<span style=\"font-weight: bold\"> NA %    </span>┃<span style=\"font-weight: bold\"> mean   </span>┃<span style=\"font-weight: bold\"> sd     </span>┃<span style=\"font-weight: bold\"> p0   </span>┃<span style=\"font-weight: bold\"> p25    </span>┃<span style=\"font-weight: bold\"> p50    </span>┃<span style=\"font-weight: bold\"> p75    </span>┃<span style=\"font-weight: bold\"> p100    </span>┃<span style=\"font-weight: bold\"> hist     </span>┃  │\n",
-                            "│ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━┩  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">entity_id       </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  5000</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2900</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2500</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  5000</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  7500</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  10000</span> │ <span style=\"color: #008000; text-decoration-color: #008000\"> ▇▇▇▇▇▇ </span> │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">female          </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0.5</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0.5</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      1</span> │ <span style=\"color: #008000; text-decoration-color: #008000\"> ▇    ▇ </span> │  │\n",
-                            "│ └──────────────────┴──────┴─────────┴────────┴────────┴──────┴────────┴────────┴────────┴─────────┴──────────┘  │\n",
+                            "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┓  │\n",
+                            "│ ┃<span style=\"font-weight: bold\"> column_name      </span>┃<span style=\"font-weight: bold\"> NA   </span>┃<span style=\"font-weight: bold\"> NA %   </span>┃<span style=\"font-weight: bold\"> mean      </span>┃<span style=\"font-weight: bold\"> sd     </span>┃<span style=\"font-weight: bold\"> p0   </span>┃<span style=\"font-weight: bold\"> p25    </span>┃<span style=\"font-weight: bold\"> p50    </span>┃<span style=\"font-weight: bold\"> p75    </span>┃<span style=\"font-weight: bold\"> p100   </span>┃<span style=\"font-weight: bold\"> hist    </span>┃  │\n",
+                            "│ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━┩  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">entity_id       </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     4999</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2887</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2500</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  4999</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  7500</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  9999</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">▇▇▇▇▇▇ </span> │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">female          </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0.4984</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0.5</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     1</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">▇    ▇ </span> │  │\n",
+                            "│ └──────────────────┴──────┴────────┴───────────┴────────┴──────┴────────┴────────┴────────┴────────┴─────────┘  │\n",
                             "╰────────────────────────────────────────────────────── End ──────────────────────────────────────────────────────╯\n",
                             "</pre>\n"
                         ],
@@ -338,12 +338,12 @@
                             "│ │ Number of columns │ 2      │ └─────────────┴───────┘                                                          │\n",
                             "│ └───────────────────┴────────┘                                                                                  │\n",
                             "│ \u001b[3m                                                    number                                                    \u001b[0m  │\n",
-                            "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┓  │\n",
-                            "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mmean  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msd    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp0  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp25   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp50   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp75   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp100   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mhist    \u001b[0m\u001b[1m \u001b[0m┃  │\n",
-                            "│ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━┩  │\n",
-                            "│ │ \u001b[38;5;141mentity_id       \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m      0\u001b[0m │ \u001b[36m  5000\u001b[0m │ \u001b[36m  2900\u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m  2500\u001b[0m │ \u001b[36m  5000\u001b[0m │ \u001b[36m  7500\u001b[0m │ \u001b[36m  10000\u001b[0m │ \u001b[32m ▇▇▇▇▇▇ \u001b[0m │  │\n",
-                            "│ │ \u001b[38;5;141mfemale          \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m      0\u001b[0m │ \u001b[36m   0.5\u001b[0m │ \u001b[36m   0.5\u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m     1\u001b[0m │ \u001b[36m      1\u001b[0m │ \u001b[32m ▇    ▇ \u001b[0m │  │\n",
-                            "│ └──────────────────┴──────┴─────────┴────────┴────────┴──────┴────────┴────────┴────────┴─────────┴──────────┘  │\n",
+                            "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┓  │\n",
+                            "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mmean     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msd    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp0  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp25   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp50   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp75   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp100  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mhist   \u001b[0m\u001b[1m \u001b[0m┃  │\n",
+                            "│ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━┩  │\n",
+                            "│ │ \u001b[38;5;141mentity_id       \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m     4999\u001b[0m │ \u001b[36m  2887\u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m  2500\u001b[0m │ \u001b[36m  4999\u001b[0m │ \u001b[36m  7500\u001b[0m │ \u001b[36m  9999\u001b[0m │ \u001b[32m▇▇▇▇▇▇ \u001b[0m │  │\n",
+                            "│ │ \u001b[38;5;141mfemale          \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m   0.4984\u001b[0m │ \u001b[36m   0.5\u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m     1\u001b[0m │ \u001b[36m     1\u001b[0m │ \u001b[32m▇    ▇ \u001b[0m │  │\n",
+                            "│ └──────────────────┴──────┴────────┴───────────┴────────┴──────┴────────┴────────┴────────┴────────┴─────────┘  │\n",
                             "╰────────────────────────────────────────────────────── End ──────────────────────────────────────────────────────╯\n"
                         ]
                     },
@@ -360,7 +360,7 @@
                             "  white-space: pre-wrap;\n",
                             "}\n",
                             "</style>\n",
-                            "<small>shape: (9_999, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>female</th></tr><tr><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>0</td><td>0</td></tr><tr><td>1</td><td>1</td></tr><tr><td>2</td><td>1</td></tr><tr><td>3</td><td>1</td></tr><tr><td>4</td><td>0</td></tr><tr><td>5</td><td>0</td></tr><tr><td>6</td><td>0</td></tr><tr><td>7</td><td>0</td></tr><tr><td>8</td><td>1</td></tr><tr><td>9</td><td>0</td></tr><tr><td>10</td><td>0</td></tr><tr><td>11</td><td>0</td></tr><tr><td>&hellip;</td><td>&hellip;</td></tr><tr><td>9988</td><td>1</td></tr><tr><td>9989</td><td>0</td></tr><tr><td>9990</td><td>1</td></tr><tr><td>9991</td><td>0</td></tr><tr><td>9992</td><td>0</td></tr><tr><td>9993</td><td>0</td></tr><tr><td>9994</td><td>1</td></tr><tr><td>9995</td><td>0</td></tr><tr><td>9996</td><td>0</td></tr><tr><td>9997</td><td>1</td></tr><tr><td>9998</td><td>1</td></tr><tr><td>9999</td><td>0</td></tr></tbody></table></div>"
+                            "<small>shape: (9_999, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>female</th></tr><tr><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>0</td><td>0</td></tr><tr><td>1</td><td>1</td></tr><tr><td>2</td><td>1</td></tr><tr><td>3</td><td>1</td></tr><tr><td>4</td><td>0</td></tr><tr><td>&hellip;</td><td>&hellip;</td></tr><tr><td>9995</td><td>0</td></tr><tr><td>9996</td><td>0</td></tr><tr><td>9997</td><td>1</td></tr><tr><td>9998</td><td>1</td></tr><tr><td>9999</td><td>0</td></tr></tbody></table></div>"
                         ],
                         "text/plain": [
                             "shape: (9_999, 2)\n",
@@ -423,7 +423,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 4,
             "metadata": {},
             "outputs": [
                 {
@@ -438,12 +438,12 @@
                             "│ │ Number of columns │ 3      │ │ datetime64  │ 1     │                                                          │\n",
                             "│ └───────────────────┴────────┘ └─────────────┴───────┘                                                          │\n",
                             "│ <span style=\"font-style: italic\">                                                    number                                                    </span>  │\n",
-                            "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┓  │\n",
-                            "│ ┃<span style=\"font-weight: bold\"> column_name      </span>┃<span style=\"font-weight: bold\"> NA   </span>┃<span style=\"font-weight: bold\"> NA %    </span>┃<span style=\"font-weight: bold\"> mean   </span>┃<span style=\"font-weight: bold\"> sd     </span>┃<span style=\"font-weight: bold\"> p0   </span>┃<span style=\"font-weight: bold\"> p25    </span>┃<span style=\"font-weight: bold\"> p50    </span>┃<span style=\"font-weight: bold\"> p75    </span>┃<span style=\"font-weight: bold\"> p100    </span>┃<span style=\"font-weight: bold\"> hist     </span>┃  │\n",
-                            "│ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━┩  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">entity_id       </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  5000</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2900</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   4</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2500</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  5100</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  7600</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  10000</span> │ <span style=\"color: #008000; text-decoration-color: #008000\"> ▇▇▇▇▇▇ </span> │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">value           </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      1</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">     ▇  </span> │  │\n",
-                            "│ └──────────────────┴──────┴─────────┴────────┴────────┴──────┴────────┴────────┴────────┴─────────┴──────────┘  │\n",
+                            "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┓  │\n",
+                            "│ ┃<span style=\"font-weight: bold\"> column_name      </span>┃<span style=\"font-weight: bold\"> NA   </span>┃<span style=\"font-weight: bold\"> NA %    </span>┃<span style=\"font-weight: bold\"> mean    </span>┃<span style=\"font-weight: bold\"> sd     </span>┃<span style=\"font-weight: bold\"> p0   </span>┃<span style=\"font-weight: bold\"> p25    </span>┃<span style=\"font-weight: bold\"> p50    </span>┃<span style=\"font-weight: bold\"> p75    </span>┃<span style=\"font-weight: bold\"> p100   </span>┃<span style=\"font-weight: bold\"> hist     </span>┃  │\n",
+                            "│ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━┩  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">entity_id       </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   5032</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2900</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   4</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  2499</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  5109</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  7555</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  9992</span> │ <span style=\"color: #008000; text-decoration-color: #008000\"> ▇▇▇▇▇▇ </span> │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">value           </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     1</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">     ▇  </span> │  │\n",
+                            "│ └──────────────────┴──────┴─────────┴─────────┴────────┴──────┴────────┴────────┴────────┴────────┴──────────┘  │\n",
                             "│ <span style=\"font-style: italic\">                                                   datetime                                                   </span>  │\n",
                             "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓  │\n",
                             "│ ┃<span style=\"font-weight: bold\"> column_name      </span>┃<span style=\"font-weight: bold\"> NA   </span>┃<span style=\"font-weight: bold\"> NA %    </span>┃<span style=\"font-weight: bold\"> first                      </span>┃<span style=\"font-weight: bold\"> last                       </span>┃<span style=\"font-weight: bold\"> frequency    </span>┃  │\n",
@@ -463,12 +463,12 @@
                             "│ │ Number of columns │ 3      │ │ datetime64  │ 1     │                                                          │\n",
                             "│ └───────────────────┴────────┘ └─────────────┴───────┘                                                          │\n",
                             "│ \u001b[3m                                                    number                                                    \u001b[0m  │\n",
-                            "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┓  │\n",
-                            "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mmean  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msd    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp0  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp25   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp50   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp75   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp100   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mhist    \u001b[0m\u001b[1m \u001b[0m┃  │\n",
-                            "│ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━┩  │\n",
-                            "│ │ \u001b[38;5;141mentity_id       \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m      0\u001b[0m │ \u001b[36m  5000\u001b[0m │ \u001b[36m  2900\u001b[0m │ \u001b[36m   4\u001b[0m │ \u001b[36m  2500\u001b[0m │ \u001b[36m  5100\u001b[0m │ \u001b[36m  7600\u001b[0m │ \u001b[36m  10000\u001b[0m │ \u001b[32m ▇▇▇▇▇▇ \u001b[0m │  │\n",
-                            "│ │ \u001b[38;5;141mvalue           \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m      0\u001b[0m │ \u001b[36m     1\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m   1\u001b[0m │ \u001b[36m     1\u001b[0m │ \u001b[36m     1\u001b[0m │ \u001b[36m     1\u001b[0m │ \u001b[36m      1\u001b[0m │ \u001b[32m     ▇  \u001b[0m │  │\n",
-                            "│ └──────────────────┴──────┴─────────┴────────┴────────┴──────┴────────┴────────┴────────┴─────────┴──────────┘  │\n",
+                            "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┓  │\n",
+                            "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mmean   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msd    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp0  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp25   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp50   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp75   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp100  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mhist    \u001b[0m\u001b[1m \u001b[0m┃  │\n",
+                            "│ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━┩  │\n",
+                            "│ │ \u001b[38;5;141mentity_id       \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m      0\u001b[0m │ \u001b[36m   5032\u001b[0m │ \u001b[36m  2900\u001b[0m │ \u001b[36m   4\u001b[0m │ \u001b[36m  2499\u001b[0m │ \u001b[36m  5109\u001b[0m │ \u001b[36m  7555\u001b[0m │ \u001b[36m  9992\u001b[0m │ \u001b[32m ▇▇▇▇▇▇ \u001b[0m │  │\n",
+                            "│ │ \u001b[38;5;141mvalue           \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m      0\u001b[0m │ \u001b[36m      1\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m   1\u001b[0m │ \u001b[36m     1\u001b[0m │ \u001b[36m     1\u001b[0m │ \u001b[36m     1\u001b[0m │ \u001b[36m     1\u001b[0m │ \u001b[32m     ▇  \u001b[0m │  │\n",
+                            "│ └──────────────────┴──────┴─────────┴─────────┴────────┴──────┴────────┴────────┴────────┴────────┴──────────┘  │\n",
                             "│ \u001b[3m                                                   datetime                                                   \u001b[0m  │\n",
                             "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓  │\n",
                             "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mfirst                     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mlast                      \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mfrequency   \u001b[0m\u001b[1m \u001b[0m┃  │\n",
@@ -491,7 +491,7 @@
                             "  white-space: pre-wrap;\n",
                             "}\n",
                             "</style>\n",
-                            "<small>shape: (3_103, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th><th>value</th></tr><tr><td>i64</td><td>datetime[μs]</td><td>i64</td></tr></thead><tbody><tr><td>1727</td><td>1966-08-01 07:08:00</td><td>1</td></tr><tr><td>2269</td><td>1965-09-07 11:14:00</td><td>1</td></tr><tr><td>6050</td><td>1969-10-28 22:11:00</td><td>1</td></tr><tr><td>2230</td><td>1966-10-06 16:26:00</td><td>1</td></tr><tr><td>6449</td><td>1966-02-06 14:18:00</td><td>1</td></tr><tr><td>3165</td><td>1965-03-03 18:44:00</td><td>1</td></tr><tr><td>9602</td><td>1968-07-01 03:24:00</td><td>1</td></tr><tr><td>9569</td><td>1968-02-07 11:17:00</td><td>1</td></tr><tr><td>12</td><td>1965-04-17 07:17:00</td><td>1</td></tr><tr><td>9224</td><td>1967-12-01 09:23:00</td><td>1</td></tr><tr><td>2638</td><td>1966-12-11 07:07:00</td><td>1</td></tr><tr><td>3415</td><td>1968-06-20 21:58:00</td><td>1</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>9679</td><td>1967-12-11 09:25:00</td><td>1</td></tr><tr><td>3376</td><td>1969-03-23 02:20:00</td><td>1</td></tr><tr><td>8348</td><td>1966-02-10 10:22:00</td><td>1</td></tr><tr><td>3370</td><td>1969-07-01 12:05:00</td><td>1</td></tr><tr><td>4576</td><td>1968-02-04 19:26:00</td><td>1</td></tr><tr><td>3623</td><td>1968-02-13 14:43:00</td><td>1</td></tr><tr><td>5591</td><td>1967-03-13 02:57:00</td><td>1</td></tr><tr><td>9563</td><td>1969-03-07 08:20:00</td><td>1</td></tr><tr><td>899</td><td>1967-07-30 06:03:00</td><td>1</td></tr><tr><td>7979</td><td>1967-02-13 12:39:00</td><td>1</td></tr><tr><td>8479</td><td>1965-09-11 10:29:00</td><td>1</td></tr><tr><td>1655</td><td>1966-05-21 13:06:00</td><td>1</td></tr></tbody></table></div>"
+                            "<small>shape: (3_103, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th><th>value</th></tr><tr><td>i64</td><td>datetime[μs]</td><td>i64</td></tr></thead><tbody><tr><td>9614</td><td>1968-07-25 20:32:00</td><td>1</td></tr><tr><td>7518</td><td>1967-05-22 15:26:00</td><td>1</td></tr><tr><td>6163</td><td>1967-09-21 17:10:00</td><td>1</td></tr><tr><td>6068</td><td>1967-01-22 22:27:00</td><td>1</td></tr><tr><td>5508</td><td>1969-08-29 18:27:00</td><td>1</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>3129</td><td>1966-10-12 14:42:00</td><td>1</td></tr><tr><td>4049</td><td>1966-05-05 03:52:00</td><td>1</td></tr><tr><td>3915</td><td>1969-04-28 04:43:00</td><td>1</td></tr><tr><td>7726</td><td>1967-07-28 07:27:00</td><td>1</td></tr><tr><td>7294</td><td>1968-11-13 14:03:00</td><td>1</td></tr></tbody></table></div>"
                         ],
                         "text/plain": [
                             "shape: (3_103, 3)\n",
@@ -500,17 +500,17 @@
                             "│ ---       ┆ ---                 ┆ ---   │\n",
                             "│ i64       ┆ datetime[μs]        ┆ i64   │\n",
                             "╞═══════════╪═════════════════════╪═══════╡\n",
-                            "│ 1727      ┆ 1966-08-01 07:08:00 ┆ 1     │\n",
-                            "│ 2269      ┆ 1965-09-07 11:14:00 ┆ 1     │\n",
-                            "│ 6050      ┆ 1969-10-28 22:11:00 ┆ 1     │\n",
-                            "│ 2230      ┆ 1966-10-06 16:26:00 ┆ 1     │\n",
-                            "│ 6449      ┆ 1966-02-06 14:18:00 ┆ 1     │\n",
+                            "│ 9614      ┆ 1968-07-25 20:32:00 ┆ 1     │\n",
+                            "│ 7518      ┆ 1967-05-22 15:26:00 ┆ 1     │\n",
+                            "│ 6163      ┆ 1967-09-21 17:10:00 ┆ 1     │\n",
+                            "│ 6068      ┆ 1967-01-22 22:27:00 ┆ 1     │\n",
+                            "│ 5508      ┆ 1969-08-29 18:27:00 ┆ 1     │\n",
                             "│ …         ┆ …                   ┆ …     │\n",
-                            "│ 9563      ┆ 1969-03-07 08:20:00 ┆ 1     │\n",
-                            "│ 899       ┆ 1967-07-30 06:03:00 ┆ 1     │\n",
-                            "│ 7979      ┆ 1967-02-13 12:39:00 ┆ 1     │\n",
-                            "│ 8479      ┆ 1965-09-11 10:29:00 ┆ 1     │\n",
-                            "│ 1655      ┆ 1966-05-21 13:06:00 ┆ 1     │\n",
+                            "│ 3129      ┆ 1966-10-12 14:42:00 ┆ 1     │\n",
+                            "│ 4049      ┆ 1966-05-05 03:52:00 ┆ 1     │\n",
+                            "│ 3915      ┆ 1969-04-28 04:43:00 ┆ 1     │\n",
+                            "│ 7726      ┆ 1967-07-28 07:27:00 ┆ 1     │\n",
+                            "│ 7294      ┆ 1968-11-13 14:03:00 ┆ 1     │\n",
                             "└───────────┴─────────────────────┴───────┘"
                         ]
                     },
@@ -579,20 +579,9 @@
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 5,
             "metadata": {},
-            "outputs": [
-                {
-                    "ename": "",
-                    "evalue": "",
-                    "output_type": "error",
-                    "traceback": [
-                        "\u001b[1;31mRunning cells with '.venv' requires the ipykernel package.\n",
-                        "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
-                        "\u001b[1;31mCommand: '/Users/au554730/Desktop/Projects/timeseriesflattener/.venv/bin/python -m pip install ipykernel -U --force-reinstall'"
-                    ]
-                }
-            ],
+            "outputs": [],
             "source": [
                 "import datetime as dt\n",
                 "\n",
@@ -662,20 +651,9 @@
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 6,
             "metadata": {},
-            "outputs": [
-                {
-                    "ename": "",
-                    "evalue": "",
-                    "output_type": "error",
-                    "traceback": [
-                        "\u001b[1;31mRunning cells with '.venv' requires the ipykernel package.\n",
-                        "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
-                        "\u001b[1;31mCommand: '/Users/au554730/Desktop/Projects/timeseriesflattener/.venv/bin/python -m pip install ipykernel -U --force-reinstall'"
-                    ]
-                }
-            ],
+            "outputs": [],
             "source": [
                 "import numpy as np\n",
                 "from timeseriesflattener import PredictorSpec, StaticSpec\n",
@@ -734,20 +712,9 @@
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 7,
             "metadata": {},
-            "outputs": [
-                {
-                    "ename": "",
-                    "evalue": "",
-                    "output_type": "error",
-                    "traceback": [
-                        "\u001b[1;31mRunning cells with '.venv' requires the ipykernel package.\n",
-                        "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
-                        "\u001b[1;31mCommand: '/Users/au554730/Desktop/Projects/timeseriesflattener/.venv/bin/python -m pip install ipykernel -U --force-reinstall'"
-                    ]
-                }
-            ],
+            "outputs": [],
             "source": [
                 "temporal_interval_predictor_spec = PredictorSpec(\n",
                 "    value_frame=ValueFrame(\n",
@@ -775,7 +742,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 8,
             "metadata": {},
             "outputs": [
                 {
@@ -788,7 +755,7 @@
                             "  white-space: pre-wrap;\n",
                             "}\n",
                             "</style>\n",
-                            "<small>shape: (9_999, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>female</th></tr><tr><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>0</td><td>0</td></tr><tr><td>1</td><td>1</td></tr><tr><td>2</td><td>1</td></tr><tr><td>3</td><td>1</td></tr><tr><td>4</td><td>0</td></tr><tr><td>5</td><td>0</td></tr><tr><td>6</td><td>0</td></tr><tr><td>7</td><td>0</td></tr><tr><td>8</td><td>1</td></tr><tr><td>9</td><td>0</td></tr><tr><td>10</td><td>0</td></tr><tr><td>11</td><td>0</td></tr><tr><td>&hellip;</td><td>&hellip;</td></tr><tr><td>9988</td><td>1</td></tr><tr><td>9989</td><td>0</td></tr><tr><td>9990</td><td>1</td></tr><tr><td>9991</td><td>0</td></tr><tr><td>9992</td><td>0</td></tr><tr><td>9993</td><td>0</td></tr><tr><td>9994</td><td>1</td></tr><tr><td>9995</td><td>0</td></tr><tr><td>9996</td><td>0</td></tr><tr><td>9997</td><td>1</td></tr><tr><td>9998</td><td>1</td></tr><tr><td>9999</td><td>0</td></tr></tbody></table></div>"
+                            "<small>shape: (9_999, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>female</th></tr><tr><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>0</td><td>0</td></tr><tr><td>1</td><td>1</td></tr><tr><td>2</td><td>1</td></tr><tr><td>3</td><td>1</td></tr><tr><td>4</td><td>0</td></tr><tr><td>&hellip;</td><td>&hellip;</td></tr><tr><td>9995</td><td>0</td></tr><tr><td>9996</td><td>0</td></tr><tr><td>9997</td><td>1</td></tr><tr><td>9998</td><td>1</td></tr><tr><td>9999</td><td>0</td></tr></tbody></table></div>"
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@@ -869,21 +836,18 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 16,
+            "execution_count": 10,
             "metadata": {},
             "outputs": [
                 {
                     "data": {
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-                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/au484925/Desktop/Git/timeseriesflattener/.venv/lib/python3.9/site-packages/rich/live.py:231: UserWarning: \n",
-                            "install \"ipywidgets\" for Jupyter support\n",
-                            "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-                            "</pre>\n"
-                        ],
+                        "application/vnd.jupyter.widget-view+json": {
+                            "model_id": "f25333ef77e543b88cd5420e89c48571",
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                         "text/plain": [
-                            "/Users/au484925/Desktop/Git/timeseriesflattener/.venv/lib/python3.9/site-packages/rich/live.py:231: UserWarning: \n",
-                            "install \"ipywidgets\" for Jupyter support\n",
-                            "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+                            "Output()"
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@@ -892,11 +856,11 @@
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                             "</pre>\n"
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                         "text/plain": [
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+                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Processing spec: ['value_1']\n",
                             "</pre>\n"
                         ],
                         "text/plain": [
-                            "Processing spec: value_1\n"
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                             "</pre>\n"
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                         "text/plain": [
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@@ -931,11 +895,11 @@
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-                            "\n"
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-                    "metadata": {},
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-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "/Users/au484925/Desktop/Git/timeseriesflattener/.venv/lib/python3.9/site-packages/numpy/lib/histograms.py:885: RuntimeWarning: invalid value encountered in divide\n",
-                        "  return n/db/n.sum(), bin_edges\n"
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@@ -986,21 +929,22 @@
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                             "│ <span style=\"font-style: italic\">                                                    number                                                    </span>  │\n",
-                            "│ ┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━┳━━━━━━━━┓  │\n",
-                            "│ ┃<span style=\"font-weight: bold\"> column_name             </span>┃<span style=\"font-weight: bold\"> NA     </span>┃<span style=\"font-weight: bold\"> NA %  </span>┃<span style=\"font-weight: bold\"> mean    </span>┃<span style=\"font-weight: bold\"> sd    </span>┃<span style=\"font-weight: bold\"> p0    </span>┃<span style=\"font-weight: bold\"> p25   </span>┃<span style=\"font-weight: bold\"> p50   </span>┃<span style=\"font-weight: bold\"> p75  </span>┃<span style=\"font-weight: bold\"> p100  </span>┃<span style=\"font-weight: bold\"> hist   </span>┃  │\n",
-                            "│ ┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━╇━━━━━━━━┩  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">entity_id              </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   5000</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 2900</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 2500</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 4900</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">7400</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">10000</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">▇▇▇▇▇▇</span> │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">pred_female_fallback_na</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0.49</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  0.5</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    1</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">▇    ▇</span> │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">n                      </span> │        │       │         │       │       │       │       │      │       │        │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">pred_value_1_within_0_t</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      5</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 0.97</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 0.66</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  4.3</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    5</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 5.6</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    9</span> │ <span style=\"color: #008000; text-decoration-color: #008000\"> ▁▇▇▂ </span> │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">o_730_days_mean_fallbac</span> │        │       │         │       │       │       │       │      │       │        │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">k_nan                  </span> │        │       │         │       │       │       │       │      │       │        │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">pred_value_2_within_10_</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 10000</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  100</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    nan</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  nan</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  nan</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  nan</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  nan</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> nan</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  nan</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">      </span> │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">to_365_days_mean_fallba</span> │        │       │         │       │       │       │       │      │       │        │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">ck_nan                 </span> │        │       │         │       │       │       │       │      │       │        │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">outc_value_within_0_to_</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 0.0001</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 0.01</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    1</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">  ▇   </span> │  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">365_days_max_fallback_0</span> │        │       │         │       │       │       │       │      │       │        │  │\n",
-                            "│ └─────────────────────────┴────────┴───────┴─────────┴───────┴───────┴───────┴───────┴──────┴───────┴────────┘  │\n",
+                            "│ ┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━┓  │\n",
+                            "│ ┃<span style=\"font-weight: bold\"> column_name           </span>┃<span style=\"font-weight: bold\"> NA   </span>┃<span style=\"font-weight: bold\"> NA %  </span>┃<span style=\"font-weight: bold\"> mean   </span>┃<span style=\"font-weight: bold\"> sd    </span>┃<span style=\"font-weight: bold\"> p0        </span>┃<span style=\"font-weight: bold\"> p25   </span>┃<span style=\"font-weight: bold\"> p50   </span>┃<span style=\"font-weight: bold\"> p75   </span>┃<span style=\"font-weight: bold\"> p100  </span>┃<span style=\"font-weight: bold\"> hist   </span>┃  │\n",
+                            "│ ┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━┩  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">entity_id            </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  4959</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 2886</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">        0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 2485</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 4922</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 7443</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 9999</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">▇▇▇▇▇▇</span> │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">pred_female_fallback_</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">0.4931</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  0.5</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">        0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    1</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">▇    ▇</span> │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">nan                  </span> │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">pred_value_1_within_0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">1072</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">10.72</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  5.01</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">1.842</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">  0.01491</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">3.851</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">5.023</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">6.178</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">9.946</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">▁▃▇▇▃▁</span> │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">_to_730_days_mean_fal</span> │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">lback_nan            </span> │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">pred_value_2_within_1</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">2060</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 20.6</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 5.008</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">2.222</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">0.0003901</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 3.52</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">5.014</span> │ <span style=\"color: #008080; text-decoration-color: #008080\"> 6.56</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">9.997</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">▂▅▇▇▅▂</span> │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">0_to_365_days_mean_fa</span> │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">llback_nan           </span> │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">outc_outcome_within_0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">        0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">    ▇ </span> │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">_to_365_days_max_fall</span> │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">back_0               </span> │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ └───────────────────────┴──────┴───────┴────────┴───────┴───────────┴───────┴───────┴───────┴───────┴────────┘  │\n",
                             "│ <span style=\"font-style: italic\">                                                   datetime                                                   </span>  │\n",
                             "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓  │\n",
                             "│ ┃<span style=\"font-weight: bold\"> column_name      </span>┃<span style=\"font-weight: bold\"> NA   </span>┃<span style=\"font-weight: bold\"> NA %    </span>┃<span style=\"font-weight: bold\"> first                      </span>┃<span style=\"font-weight: bold\"> last                       </span>┃<span style=\"font-weight: bold\"> frequency    </span>┃  │\n",
@@ -1008,11 +952,11 @@
                             "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">timestamp       </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">   0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">      0</span> │ <span style=\"color: #800000; text-decoration-color: #800000\">   1965-01-02 09:35:00    </span> │ <span style=\"color: #800000; text-decoration-color: #800000\">   1969-12-31 21:42:00    </span> │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">None        </span> │  │\n",
                             "│ └──────────────────┴──────┴─────────┴────────────────────────────┴────────────────────────────┴──────────────┘  │\n",
                             "│ <span style=\"font-style: italic\">                                                    string                                                    </span>  │\n",
-                            "│ ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓  │\n",
-                            "│ ┃<span style=\"font-weight: bold\"> column_name                   </span>┃<span style=\"font-weight: bold\"> NA     </span>┃<span style=\"font-weight: bold\"> NA %       </span>┃<span style=\"font-weight: bold\"> words per row               </span>┃<span style=\"font-weight: bold\"> total words            </span>┃  │\n",
-                            "│ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩  │\n",
-                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">pred_time_uuid               </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">     0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">         0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">                          2</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">                 20000</span> │  │\n",
-                            "│ └───────────────────────────────┴────────┴────────────┴─────────────────────────────┴────────────────────────┘  │\n",
+                            "│ ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┓  │\n",
+                            "│ ┃<span style=\"font-weight: bold\"> column_name                           </span>┃<span style=\"font-weight: bold\"> NA    </span>┃<span style=\"font-weight: bold\"> NA %      </span>┃<span style=\"font-weight: bold\"> words per row            </span>┃<span style=\"font-weight: bold\"> total words         </span>┃  │\n",
+                            "│ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━┩  │\n",
+                            "│ │ <span style=\"color: #af87ff; text-decoration-color: #af87ff\">prediction_time_uuid                 </span> │ <span style=\"color: #008080; text-decoration-color: #008080\">    0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">        0</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">                       2</span> │ <span style=\"color: #008080; text-decoration-color: #008080\">              20000</span> │  │\n",
+                            "│ └───────────────────────────────────────┴───────┴───────────┴──────────────────────────┴─────────────────────┘  │\n",
                             "╰────────────────────────────────────────────────────── End ──────────────────────────────────────────────────────╯\n",
                             "</pre>\n"
                         ],
@@ -1028,21 +972,22 @@
                             "│                                │ string      │ 1     │                                                          │\n",
                             "│                                └─────────────┴───────┘                                                          │\n",
                             "│ \u001b[3m                                                    number                                                    \u001b[0m  │\n",
-                            "│ ┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━┳━━━━━━━━┓  │\n",
-                            "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name            \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA % \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mmean   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msd   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp0   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp25  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp50  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp75 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp100 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mhist  \u001b[0m\u001b[1m \u001b[0m┃  │\n",
-                            "│ ┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━╇━━━━━━━━┩  │\n",
-                            "│ │ \u001b[38;5;141mentity_id              \u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m   5000\u001b[0m │ \u001b[36m 2900\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m 2500\u001b[0m │ \u001b[36m 4900\u001b[0m │ \u001b[36m7400\u001b[0m │ \u001b[36m10000\u001b[0m │ \u001b[32m▇▇▇▇▇▇\u001b[0m │  │\n",
-                            "│ │ \u001b[38;5;141mpred_female_fallback_na\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m   0.49\u001b[0m │ \u001b[36m  0.5\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m   1\u001b[0m │ \u001b[36m    1\u001b[0m │ \u001b[32m▇    ▇\u001b[0m │  │\n",
-                            "│ │ \u001b[38;5;141mn                      \u001b[0m │        │       │         │       │       │       │       │      │       │        │  │\n",
-                            "│ │ \u001b[38;5;141mpred_value_1_within_0_t\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m      5\u001b[0m │ \u001b[36m 0.97\u001b[0m │ \u001b[36m 0.66\u001b[0m │ \u001b[36m  4.3\u001b[0m │ \u001b[36m    5\u001b[0m │ \u001b[36m 5.6\u001b[0m │ \u001b[36m    9\u001b[0m │ \u001b[32m ▁▇▇▂ \u001b[0m │  │\n",
-                            "│ │ \u001b[38;5;141mo_730_days_mean_fallbac\u001b[0m │        │       │         │       │       │       │       │      │       │        │  │\n",
-                            "│ │ \u001b[38;5;141mk_nan                  \u001b[0m │        │       │         │       │       │       │       │      │       │        │  │\n",
-                            "│ │ \u001b[38;5;141mpred_value_2_within_10_\u001b[0m │ \u001b[36m 10000\u001b[0m │ \u001b[36m  100\u001b[0m │ \u001b[36m    nan\u001b[0m │ \u001b[36m  nan\u001b[0m │ \u001b[36m  nan\u001b[0m │ \u001b[36m  nan\u001b[0m │ \u001b[36m  nan\u001b[0m │ \u001b[36m nan\u001b[0m │ \u001b[36m  nan\u001b[0m │ \u001b[32m      \u001b[0m │  │\n",
-                            "│ │ \u001b[38;5;141mto_365_days_mean_fallba\u001b[0m │        │       │         │       │       │       │       │      │       │        │  │\n",
-                            "│ │ \u001b[38;5;141mck_nan                 \u001b[0m │        │       │         │       │       │       │       │      │       │        │  │\n",
-                            "│ │ \u001b[38;5;141moutc_value_within_0_to_\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m 0.0001\u001b[0m │ \u001b[36m 0.01\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m    1\u001b[0m │ \u001b[32m  ▇   \u001b[0m │  │\n",
-                            "│ │ \u001b[38;5;141m365_days_max_fallback_0\u001b[0m │        │       │         │       │       │       │       │      │       │        │  │\n",
-                            "│ └─────────────────────────┴────────┴───────┴─────────┴───────┴───────┴───────┴───────┴──────┴───────┴────────┘  │\n",
+                            "│ ┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━┓  │\n",
+                            "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA % \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mmean  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msd   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp0       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp25  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp50  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp75  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp100 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mhist  \u001b[0m\u001b[1m \u001b[0m┃  │\n",
+                            "│ ┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━┩  │\n",
+                            "│ │ \u001b[38;5;141mentity_id            \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m  4959\u001b[0m │ \u001b[36m 2886\u001b[0m │ \u001b[36m        0\u001b[0m │ \u001b[36m 2485\u001b[0m │ \u001b[36m 4922\u001b[0m │ \u001b[36m 7443\u001b[0m │ \u001b[36m 9999\u001b[0m │ \u001b[32m▇▇▇▇▇▇\u001b[0m │  │\n",
+                            "│ │ \u001b[38;5;141mpred_female_fallback_\u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m0.4931\u001b[0m │ \u001b[36m  0.5\u001b[0m │ \u001b[36m        0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m    1\u001b[0m │ \u001b[36m    1\u001b[0m │ \u001b[32m▇    ▇\u001b[0m │  │\n",
+                            "│ │ \u001b[38;5;141mnan                  \u001b[0m │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ │ \u001b[38;5;141mpred_value_1_within_0\u001b[0m │ \u001b[36m1072\u001b[0m │ \u001b[36m10.72\u001b[0m │ \u001b[36m  5.01\u001b[0m │ \u001b[36m1.842\u001b[0m │ \u001b[36m  0.01491\u001b[0m │ \u001b[36m3.851\u001b[0m │ \u001b[36m5.023\u001b[0m │ \u001b[36m6.178\u001b[0m │ \u001b[36m9.946\u001b[0m │ \u001b[32m▁▃▇▇▃▁\u001b[0m │  │\n",
+                            "│ │ \u001b[38;5;141m_to_730_days_mean_fal\u001b[0m │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ │ \u001b[38;5;141mlback_nan            \u001b[0m │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ │ \u001b[38;5;141mpred_value_2_within_1\u001b[0m │ \u001b[36m2060\u001b[0m │ \u001b[36m 20.6\u001b[0m │ \u001b[36m 5.008\u001b[0m │ \u001b[36m2.222\u001b[0m │ \u001b[36m0.0003901\u001b[0m │ \u001b[36m 3.52\u001b[0m │ \u001b[36m5.014\u001b[0m │ \u001b[36m 6.56\u001b[0m │ \u001b[36m9.997\u001b[0m │ \u001b[32m▂▅▇▇▅▂\u001b[0m │  │\n",
+                            "│ │ \u001b[38;5;141m0_to_365_days_mean_fa\u001b[0m │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ │ \u001b[38;5;141mllback_nan           \u001b[0m │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ │ \u001b[38;5;141moutc_outcome_within_0\u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m        0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[32m    ▇ \u001b[0m │  │\n",
+                            "│ │ \u001b[38;5;141m_to_365_days_max_fall\u001b[0m │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ │ \u001b[38;5;141mback_0               \u001b[0m │      │       │        │       │           │       │       │       │       │        │  │\n",
+                            "│ └───────────────────────┴──────┴───────┴────────┴───────┴───────────┴───────┴───────┴───────┴───────┴────────┘  │\n",
                             "│ \u001b[3m                                                   datetime                                                   \u001b[0m  │\n",
                             "│ ┏━━━━━━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓  │\n",
                             "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mfirst                     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mlast                      \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mfrequency   \u001b[0m\u001b[1m \u001b[0m┃  │\n",
@@ -1050,11 +995,11 @@
                             "│ │ \u001b[38;5;141mtimestamp       \u001b[0m │ \u001b[36m   0\u001b[0m │ \u001b[36m      0\u001b[0m │ \u001b[31m   1965-01-02 09:35:00    \u001b[0m │ \u001b[31m   1969-12-31 21:42:00    \u001b[0m │ \u001b[38;5;141mNone        \u001b[0m │  │\n",
                             "│ └──────────────────┴──────┴─────────┴────────────────────────────┴────────────────────────────┴──────────────┘  │\n",
                             "│ \u001b[3m                                                    string                                                    \u001b[0m  │\n",
-                            "│ ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓  │\n",
-                            "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name                  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %      \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mwords per row              \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mtotal words           \u001b[0m\u001b[1m \u001b[0m┃  │\n",
-                            "│ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩  │\n",
-                            "│ │ \u001b[38;5;141mpred_time_uuid               \u001b[0m │ \u001b[36m     0\u001b[0m │ \u001b[36m         0\u001b[0m │ \u001b[36m                          2\u001b[0m │ \u001b[36m                 20000\u001b[0m │  │\n",
-                            "│ └───────────────────────────────┴────────┴────────────┴─────────────────────────────┴────────────────────────┘  │\n",
+                            "│ ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┓  │\n",
+                            "│ ┃\u001b[1m \u001b[0m\u001b[1mcolumn_name                          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mNA %     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mwords per row           \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mtotal words        \u001b[0m\u001b[1m \u001b[0m┃  │\n",
+                            "│ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━┩  │\n",
+                            "│ │ \u001b[38;5;141mprediction_time_uuid                 \u001b[0m │ \u001b[36m    0\u001b[0m │ \u001b[36m        0\u001b[0m │ \u001b[36m                       2\u001b[0m │ \u001b[36m              20000\u001b[0m │  │\n",
+                            "│ └───────────────────────────────────────┴───────┴───────────┴──────────────────────────┴─────────────────────┘  │\n",
                             "╰────────────────────────────────────────────────────── End ──────────────────────────────────────────────────────╯\n"
                         ]
                     },
@@ -1066,14 +1011,14 @@
                         "text/plain": [
                             "['entity_id',\n",
                             " 'timestamp',\n",
-                            " 'pred_time_uuid',\n",
+                            " 'prediction_time_uuid',\n",
                             " 'pred_female_fallback_nan',\n",
                             " 'pred_value_1_within_0_to_730_days_mean_fallback_nan',\n",
                             " 'pred_value_2_within_10_to_365_days_mean_fallback_nan',\n",
-                            " 'outc_value_within_0_to_365_days_max_fallback_0']"
+                            " 'outc_outcome_within_0_to_365_days_max_fallback_0']"
                         ]
                     },
-                    "execution_count": 16,
+                    "execution_count": 10,
                     "metadata": {},
                     "output_type": "execute_result"
                 }
@@ -1095,7 +1040,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 17,
+            "execution_count": 11,
             "metadata": {},
             "outputs": [
                 {
@@ -1108,51 +1053,51 @@
                             "  white-space: pre-wrap;\n",
                             "}\n",
                             "</style>\n",
-                            "<small>shape: (10_000, 7)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th><th>pred_time_uuid</th><th>pred_female_fallback_nan</th><th>predX</th><th>predX_30_to_90</th><th>outc_Y</th></tr><tr><td>i64</td><td>datetime[μs]</td><td>str</td><td>i64</td><td>f64</td><td>f64</td><td>i32</td></tr></thead><tbody><tr><td>9903</td><td>1968-05-09 21:24:00</td><td>&quot;9903-1968-05-0…</td><td>0</td><td>3.197213</td><td>NaN</td><td>0</td></tr><tr><td>7465</td><td>1966-05-24 01:23:00</td><td>&quot;7465-1966-05-2…</td><td>1</td><td>4.243969</td><td>NaN</td><td>0</td></tr><tr><td>6447</td><td>1967-09-25 18:08:00</td><td>&quot;6447-1967-09-2…</td><td>1</td><td>5.260492</td><td>NaN</td><td>0</td></tr><tr><td>2121</td><td>1966-05-05 20:52:00</td><td>&quot;2121-1966-05-0…</td><td>0</td><td>4.798062</td><td>NaN</td><td>0</td></tr><tr><td>4927</td><td>1968-06-30 12:13:00</td><td>&quot;4927-1968-06-3…</td><td>0</td><td>4.040067</td><td>NaN</td><td>0</td></tr><tr><td>5475</td><td>1967-01-09 03:09:00</td><td>&quot;5475-1967-01-0…</td><td>0</td><td>5.953548</td><td>NaN</td><td>0</td></tr><tr><td>3157</td><td>1969-10-07 05:01:00</td><td>&quot;3157-1969-10-0…</td><td>1</td><td>5.068696</td><td>NaN</td><td>0</td></tr><tr><td>9793</td><td>1968-12-15 12:59:00</td><td>&quot;9793-1968-12-1…</td><td>0</td><td>6.93591</td><td>NaN</td><td>0</td></tr><tr><td>5962</td><td>1965-11-08 17:03:00</td><td>&quot;5962-1965-11-0…</td><td>0</td><td>4.112929</td><td>NaN</td><td>0</td></tr><tr><td>9768</td><td>1967-07-04 23:09:00</td><td>&quot;9768-1967-07-0…</td><td>1</td><td>5.053019</td><td>NaN</td><td>0</td></tr><tr><td>9861</td><td>1969-01-22 17:34:00</td><td>&quot;9861-1969-01-2…</td><td>0</td><td>3.828896</td><td>NaN</td><td>0</td></tr><tr><td>657</td><td>1969-04-14 15:47:00</td><td>&quot;657-1969-04-14…</td><td>0</td><td>5.124361</td><td>NaN</td><td>0</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>6542</td><td>1967-04-15 14:37:00</td><td>&quot;6542-1967-04-1…</td><td>1</td><td>6.099213</td><td>NaN</td><td>0</td></tr><tr><td>5607</td><td>1966-02-14 02:15:00</td><td>&quot;5607-1966-02-1…</td><td>0</td><td>4.235413</td><td>NaN</td><td>0</td></tr><tr><td>4228</td><td>1967-02-26 05:45:00</td><td>&quot;4228-1967-02-2…</td><td>0</td><td>5.181058</td><td>NaN</td><td>0</td></tr><tr><td>8337</td><td>1965-07-14 08:14:00</td><td>&quot;8337-1965-07-1…</td><td>0</td><td>5.184373</td><td>NaN</td><td>0</td></tr><tr><td>9745</td><td>1969-02-04 01:18:00</td><td>&quot;9745-1969-02-0…</td><td>1</td><td>6.005186</td><td>NaN</td><td>0</td></tr><tr><td>7222</td><td>1966-06-07 16:10:00</td><td>&quot;7222-1966-06-0…</td><td>0</td><td>4.666051</td><td>NaN</td><td>0</td></tr><tr><td>3385</td><td>1967-07-17 19:18:00</td><td>&quot;3385-1967-07-1…</td><td>1</td><td>6.98234</td><td>NaN</td><td>0</td></tr><tr><td>7159</td><td>1966-12-12 16:32:00</td><td>&quot;7159-1966-12-1…</td><td>0</td><td>5.022668</td><td>NaN</td><td>0</td></tr><tr><td>147</td><td>1965-03-12 05:32:00</td><td>&quot;147-1965-03-12…</td><td>1</td><td>5.927239</td><td>NaN</td><td>0</td></tr><tr><td>1421</td><td>1968-04-15 15:53:00</td><td>&quot;1421-1968-04-1…</td><td>0</td><td>6.061767</td><td>NaN</td><td>0</td></tr><tr><td>3353</td><td>1966-01-15 10:04:00</td><td>&quot;3353-1966-01-1…</td><td>0</td><td>6.108344</td><td>NaN</td><td>0</td></tr><tr><td>1940</td><td>1968-05-17 10:49:00</td><td>&quot;1940-1968-05-1…</td><td>0</td><td>4.909043</td><td>NaN</td><td>0</td></tr></tbody></table></div>"
+                            "<small>shape: (10_000, 7)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th><th>prediction_time_uuid</th><th>pred_female_fallback_nan</th><th>predX</th><th>predX_30_to_90</th><th>outc_Y</th></tr><tr><td>i64</td><td>datetime[μs]</td><td>str</td><td>i64</td><td>f64</td><td>f64</td><td>i32</td></tr></thead><tbody><tr><td>9852</td><td>1965-01-02 09:35:00</td><td>&quot;9852-1965-01-02 09:35:00.00000…</td><td>1</td><td>NaN</td><td>NaN</td><td>0</td></tr><tr><td>1467</td><td>1965-01-02 10:05:00</td><td>&quot;1467-1965-01-02 10:05:00.00000…</td><td>0</td><td>NaN</td><td>NaN</td><td>0</td></tr><tr><td>1125</td><td>1965-01-02 12:55:00</td><td>&quot;1125-1965-01-02 12:55:00.00000…</td><td>0</td><td>NaN</td><td>NaN</td><td>0</td></tr><tr><td>649</td><td>1965-01-02 14:01:00</td><td>&quot;649-1965-01-02 14:01:00.000000&quot;</td><td>0</td><td>NaN</td><td>NaN</td><td>0</td></tr><tr><td>2070</td><td>1965-01-03 08:01:00</td><td>&quot;2070-1965-01-03 08:01:00.00000…</td><td>1</td><td>NaN</td><td>NaN</td><td>0</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>334</td><td>1969-12-31 16:32:00</td><td>&quot;334-1969-12-31 16:32:00.000000&quot;</td><td>1</td><td>7.252526</td><td>NaN</td><td>0</td></tr><tr><td>3363</td><td>1969-12-31 17:52:00</td><td>&quot;3363-1969-12-31 17:52:00.00000…</td><td>1</td><td>3.679667</td><td>2.409664</td><td>0</td></tr><tr><td>7929</td><td>1969-12-31 18:22:00</td><td>&quot;7929-1969-12-31 18:22:00.00000…</td><td>0</td><td>4.943585</td><td>7.475979</td><td>0</td></tr><tr><td>6002</td><td>1969-12-31 20:07:00</td><td>&quot;6002-1969-12-31 20:07:00.00000…</td><td>1</td><td>5.593583</td><td>7.076598</td><td>0</td></tr><tr><td>864</td><td>1969-12-31 21:42:00</td><td>&quot;864-1969-12-31 21:42:00.000000&quot;</td><td>1</td><td>5.520416</td><td>NaN</td><td>0</td></tr></tbody></table></div>"
                         ],
                         "text/plain": [
                             "shape: (10_000, 7)\n",
                             "┌───────────┬────────────────┬────────────────┬────────────────┬──────────┬───────────────┬────────┐\n",
-                            "│ entity_id ┆ timestamp      ┆ pred_time_uuid ┆ pred_female_fa ┆ predX    ┆ predX_30_to_9 ┆ outc_Y │\n",
-                            "│ ---       ┆ ---            ┆ ---            ┆ llback_nan     ┆ ---      ┆ 0             ┆ ---    │\n",
-                            "│ i64       ┆ datetime[μs]   ┆ str            ┆ ---            ┆ f64      ┆ ---           ┆ i32    │\n",
-                            "│           ┆                ┆                ┆ i64            ┆          ┆ f64           ┆        │\n",
+                            "│ entity_id ┆ timestamp      ┆ prediction_tim ┆ pred_female_fa ┆ predX    ┆ predX_30_to_9 ┆ outc_Y │\n",
+                            "│ ---       ┆ ---            ┆ e_uuid         ┆ llback_nan     ┆ ---      ┆ 0             ┆ ---    │\n",
+                            "│ i64       ┆ datetime[μs]   ┆ ---            ┆ ---            ┆ f64      ┆ ---           ┆ i32    │\n",
+                            "│           ┆                ┆ str            ┆ i64            ┆          ┆ f64           ┆        │\n",
                             "╞═══════════╪════════════════╪════════════════╪════════════════╪══════════╪═══════════════╪════════╡\n",
-                            "│ 9903      ┆ 1968-05-09     ┆ 9903-1968-05-0 ┆ 0              ┆ 3.197213 ┆ NaN           ┆ 0      │\n",
-                            "│           ┆ 21:24:00       ┆ 9 21:24:00.000 ┆                ┆          ┆               ┆        │\n",
-                            "│           ┆                ┆ 000            ┆                ┆          ┆               ┆        │\n",
-                            "│ 7465      ┆ 1966-05-24     ┆ 7465-1966-05-2 ┆ 1              ┆ 4.243969 ┆ NaN           ┆ 0      │\n",
-                            "│           ┆ 01:23:00       ┆ 4 01:23:00.000 ┆                ┆          ┆               ┆        │\n",
-                            "│           ┆                ┆ 000            ┆                ┆          ┆               ┆        │\n",
-                            "│ 6447      ┆ 1967-09-25     ┆ 6447-1967-09-2 ┆ 1              ┆ 5.260492 ┆ NaN           ┆ 0      │\n",
-                            "│           ┆ 18:08:00       ┆ 5 18:08:00.000 ┆                ┆          ┆               ┆        │\n",
-                            "│           ┆                ┆ 000            ┆                ┆          ┆               ┆        │\n",
-                            "│ 2121      ┆ 1966-05-05     ┆ 2121-1966-05-0 ┆ 0              ┆ 4.798062 ┆ NaN           ┆ 0      │\n",
-                            "│           ┆ 20:52:00       ┆ 5 20:52:00.000 ┆                ┆          ┆               ┆        │\n",
-                            "│           ┆                ┆ 000            ┆                ┆          ┆               ┆        │\n",
-                            "│ 4927      ┆ 1968-06-30     ┆ 4927-1968-06-3 ┆ 0              ┆ 4.040067 ┆ NaN           ┆ 0      │\n",
-                            "│           ┆ 12:13:00       ┆ 0 12:13:00.000 ┆                ┆          ┆               ┆        │\n",
-                            "│           ┆                ┆ 000            ┆                ┆          ┆               ┆        │\n",
+                            "│ 9852      ┆ 1965-01-02     ┆ 9852-1965-01-0 ┆ 1              ┆ NaN      ┆ NaN           ┆ 0      │\n",
+                            "│           ┆ 09:35:00       ┆ 2 09:35:00.000 ┆                ┆          ┆               ┆        │\n",
+                            "│           ┆                ┆ 00…            ┆                ┆          ┆               ┆        │\n",
+                            "│ 1467      ┆ 1965-01-02     ┆ 1467-1965-01-0 ┆ 0              ┆ NaN      ┆ NaN           ┆ 0      │\n",
+                            "│           ┆ 10:05:00       ┆ 2 10:05:00.000 ┆                ┆          ┆               ┆        │\n",
+                            "│           ┆                ┆ 00…            ┆                ┆          ┆               ┆        │\n",
+                            "│ 1125      ┆ 1965-01-02     ┆ 1125-1965-01-0 ┆ 0              ┆ NaN      ┆ NaN           ┆ 0      │\n",
+                            "│           ┆ 12:55:00       ┆ 2 12:55:00.000 ┆                ┆          ┆               ┆        │\n",
+                            "│           ┆                ┆ 00…            ┆                ┆          ┆               ┆        │\n",
+                            "│ 649       ┆ 1965-01-02     ┆ 649-1965-01-02 ┆ 0              ┆ NaN      ┆ NaN           ┆ 0      │\n",
+                            "│           ┆ 14:01:00       ┆ 14:01:00.00000 ┆                ┆          ┆               ┆        │\n",
+                            "│           ┆                ┆ 0              ┆                ┆          ┆               ┆        │\n",
+                            "│ 2070      ┆ 1965-01-03     ┆ 2070-1965-01-0 ┆ 1              ┆ NaN      ┆ NaN           ┆ 0      │\n",
+                            "│           ┆ 08:01:00       ┆ 3 08:01:00.000 ┆                ┆          ┆               ┆        │\n",
+                            "│           ┆                ┆ 00…            ┆                ┆          ┆               ┆        │\n",
                             "│ …         ┆ …              ┆ …              ┆ …              ┆ …        ┆ …             ┆ …      │\n",
-                            "│ 7159      ┆ 1966-12-12     ┆ 7159-1966-12-1 ┆ 0              ┆ 5.022668 ┆ NaN           ┆ 0      │\n",
-                            "│           ┆ 16:32:00       ┆ 2 16:32:00.000 ┆                ┆          ┆               ┆        │\n",
-                            "│           ┆                ┆ 000            ┆                ┆          ┆               ┆        │\n",
-                            "│ 147       ┆ 1965-03-12     ┆ 147-1965-03-12 ┆ 1              ┆ 5.927239 ┆ NaN           ┆ 0      │\n",
-                            "│           ┆ 05:32:00       ┆ 05:32:00.00000 ┆                ┆          ┆               ┆        │\n",
+                            "│ 334       ┆ 1969-12-31     ┆ 334-1969-12-31 ┆ 1              ┆ 7.252526 ┆ NaN           ┆ 0      │\n",
+                            "│           ┆ 16:32:00       ┆ 16:32:00.00000 ┆                ┆          ┆               ┆        │\n",
+                            "│           ┆                ┆ 0              ┆                ┆          ┆               ┆        │\n",
+                            "│ 3363      ┆ 1969-12-31     ┆ 3363-1969-12-3 ┆ 1              ┆ 3.679667 ┆ 2.409664      ┆ 0      │\n",
+                            "│           ┆ 17:52:00       ┆ 1 17:52:00.000 ┆                ┆          ┆               ┆        │\n",
+                            "│           ┆                ┆ 00…            ┆                ┆          ┆               ┆        │\n",
+                            "│ 7929      ┆ 1969-12-31     ┆ 7929-1969-12-3 ┆ 0              ┆ 4.943585 ┆ 7.475979      ┆ 0      │\n",
+                            "│           ┆ 18:22:00       ┆ 1 18:22:00.000 ┆                ┆          ┆               ┆        │\n",
+                            "│           ┆                ┆ 00…            ┆                ┆          ┆               ┆        │\n",
+                            "│ 6002      ┆ 1969-12-31     ┆ 6002-1969-12-3 ┆ 1              ┆ 5.593583 ┆ 7.076598      ┆ 0      │\n",
+                            "│           ┆ 20:07:00       ┆ 1 20:07:00.000 ┆                ┆          ┆               ┆        │\n",
+                            "│           ┆                ┆ 00…            ┆                ┆          ┆               ┆        │\n",
+                            "│ 864       ┆ 1969-12-31     ┆ 864-1969-12-31 ┆ 1              ┆ 5.520416 ┆ NaN           ┆ 0      │\n",
+                            "│           ┆ 21:42:00       ┆ 21:42:00.00000 ┆                ┆          ┆               ┆        │\n",
                             "│           ┆                ┆ 0              ┆                ┆          ┆               ┆        │\n",
-                            "│ 1421      ┆ 1968-04-15     ┆ 1421-1968-04-1 ┆ 0              ┆ 6.061767 ┆ NaN           ┆ 0      │\n",
-                            "│           ┆ 15:53:00       ┆ 5 15:53:00.000 ┆                ┆          ┆               ┆        │\n",
-                            "│           ┆                ┆ 000            ┆                ┆          ┆               ┆        │\n",
-                            "│ 3353      ┆ 1966-01-15     ┆ 3353-1966-01-1 ┆ 0              ┆ 6.108344 ┆ NaN           ┆ 0      │\n",
-                            "│           ┆ 10:04:00       ┆ 5 10:04:00.000 ┆                ┆          ┆               ┆        │\n",
-                            "│           ┆                ┆ 000            ┆                ┆          ┆               ┆        │\n",
-                            "│ 1940      ┆ 1968-05-17     ┆ 1940-1968-05-1 ┆ 0              ┆ 4.909043 ┆ NaN           ┆ 0      │\n",
-                            "│           ┆ 10:49:00       ┆ 7 10:49:00.000 ┆                ┆          ┆               ┆        │\n",
-                            "│           ┆                ┆ 000            ┆                ┆          ┆               ┆        │\n",
                             "└───────────┴────────────────┴────────────────┴────────────────┴──────────┴───────────────┴────────┘"
                         ]
                     },
-                    "execution_count": 17,
+                    "execution_count": 11,
                     "metadata": {},
                     "output_type": "execute_result"
                 }
@@ -1187,6 +1132,11 @@
                 "5. Our outcome columns, prefixed with `outc_`\n"
             ]
         },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": []
+        },
         {
             "cell_type": "markdown",
             "metadata": {},
diff --git a/pyproject.toml b/pyproject.toml
index 54fa5b65..eb2d1bca 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,7 +35,7 @@ dependencies = [
   "frozendict>=2.3.4",
   "coloredlogs>14.0.0",
   "tqdm>4.1.0",
-  "polars>0.19.0",
+  "polars>=0.19.0",
   "iterpy==1.6.0",
   "rich>=13.0.0",
   "ipykernel[docs]>=6.29.5",
@@ -70,7 +70,7 @@ docs = [
   "sphinx_design==0.3.0",
   "ipykernel>=6.29.5",
 ]
-tutorials = ["jupyter>=1.0.0,<1.1.0", "skimpy>=0.0.11"]
+tutorials = ["jupyter>=1.0.0,<1.1.0", "skimpy==0.0.15"]
 
 [project.readme]
 file = "README.md"
@@ -81,20 +81,8 @@ homepage = "https://github.com/Aarhus-Psychiatry-Research/timeseriesflattener"
 repository = "https://github.com/Aarhus-Psychiatry-Research/timeseriesflattener"
 documentation = "https://aarhus-psychiatry-research.github.io/timeseriesflattener/"
 
-[tool]
-rye = { dev-dependencies = [
-  "pytest>=7.1.3, <7.3.0",
-  "pytest-cov>=3.0.0, <3.1.0",
-  "pytest-xdist>=3.0.0, <3.2.0",
-  "pytest-sugar>=0.9.4, <0.10.0",
-  "pytest-testmon==2.1.0",
-  "pytest-benchmark==4.0.0",
-  "pytest-codspeed==2.2.0",
-  "invoke==2.1.1",
-  "pyright==1.1.330.post0",
-  "pandas-stubs>=2.0.3.230814",
-  "ruff>=0.2.2",
-] }
+[tool.uv]
+override-dependencies = ["polars >= 1.0"]
 
 [tool.pyright]
 exclude = [".*venv*/", ".venv38/", ".tox", ".benchmark_cache"]
diff --git a/src/timeseriesflattener/main_test.py b/src/timeseriesflattener/main_test.py
index eb26b33b..ec521163 100644
--- a/src/timeseriesflattener/main_test.py
+++ b/src/timeseriesflattener/main_test.py
@@ -45,8 +45,8 @@ def assert_frame_equal(
     result: pl.DataFrame, expected: pl.DataFrame, ignore_colums: Sequence[str] = ()
 ):
     polars_testing.assert_frame_equal(
-        result.drop(ignore_colums),
-        expected.drop(ignore_colums),
+        result.drop(ignore_colums, strict=False),
+        expected.drop(ignore_colums, strict=False),
         check_dtypes=False,
         check_column_order=False,
     )
diff --git a/src/timeseriesflattener/processors/temporal.py b/src/timeseriesflattener/processors/temporal.py
index 8624037a..07f4a608 100644
--- a/src/timeseriesflattener/processors/temporal.py
+++ b/src/timeseriesflattener/processors/temporal.py
@@ -130,9 +130,10 @@ def _aggregate_masked_frame(
     )
     rename_mapping = dict(value_columns)
 
-    with_fallback = grouped_frame.with_columns(
-        cs.contains(masked_frame.value_col_names).fill_null(fallback)
-    ).rename(rename_mapping)
+    for col in masked_frame.value_col_names:
+        with_fallback = grouped_frame.with_columns(cs.contains(col).fill_null(fallback)).rename(
+            rename_mapping
+        )
 
     return with_fallback
 
diff --git a/src/timeseriesflattener/specs/outcome.py b/src/timeseriesflattener/specs/outcome.py
index a85a5a21..11ae545e 100644
--- a/src/timeseriesflattener/specs/outcome.py
+++ b/src/timeseriesflattener/specs/outcome.py
@@ -4,6 +4,7 @@
 from dataclasses import InitVar, dataclass
 from typing import TYPE_CHECKING
 
+import pandas as pd
 import polars as pl
 from timeseriesflattener.specs import _lookdistance_to_timedelta
 
@@ -114,7 +115,7 @@ def df(self) -> pl.DataFrame:
 
     @staticmethod
     def from_primitives(
-        df: pl.DataFrame,
+        df: pl.DataFrame | pd.DataFrame,
         entity_id_col_name: str,
         lookahead_days: Sequence[float | tuple[float, float]],
         aggregators: Sequence[AggregatorName],
diff --git a/src/timeseriesflattener/testing/load_synth_data.py b/src/timeseriesflattener/testing/load_synth_data.py
index c7f26ddf..cff859a4 100644
--- a/src/timeseriesflattener/testing/load_synth_data.py
+++ b/src/timeseriesflattener/testing/load_synth_data.py
@@ -37,7 +37,7 @@ def synth_predictor_binary() -> pl.DataFrame:
 def load_synth_outcome() -> pl.DataFrame:
     # Get first row for each id
     df = load_raw_test_csv("synth_raw_binary_2.csv")
-    df = df.groupby("entity_id").last()
+    df = df.group_by("entity_id").last()
 
     # Drop all rows with a value equal to 1
     df = df.filter(pl.col("value") == 1)
diff --git a/uv.lock b/uv.lock
index 2a63910b..917dcfe5 100644
--- a/uv.lock
+++ b/uv.lock
@@ -9,6 +9,9 @@ resolution-markers = [
     "python_full_version >= '3.13'",
 ]
 
+[manifest]
+overrides = [{ name = "polars", specifier = ">=1.0" }]
+
 [[package]]
 name = "accessible-pygments"
 version = "0.0.5"
@@ -1911,15 +1914,15 @@ wheels = [
 
 [[package]]
 name = "polars"
-version = "0.20.31"
+version = "1.6.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/10/cb/447d8ba0d38df42bf247ade1fb7ad1ba61f09a95144ee8c4ab0314d38703/polars-0.20.31.tar.gz", hash = "sha256:00f62dec6bf43a4e2a5db58b99bf0e79699fe761c80ae665868eaea5168f3bbb", size = 3666354 }
+sdist = { url = "https://files.pythonhosted.org/packages/2b/a9/cf169ce361224d4b397f52d6fcceb191452ecdc50813ce2aa6c60ff46e04/polars-1.6.0.tar.gz", hash = "sha256:d7e8d5e577883a9755bc3be92ecbf6f20bced68267bdb8bdb440120e905cc19c", size = 3929590 }
 wheels = [
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-    { url = "https://files.pythonhosted.org/packages/d0/71/984ed5f67c824c9b547665454ee438e0540a1ce2e8eca4d2021eeaf826aa/polars-0.20.31-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:67f2fe842262b7e1b9371edad21b760f6734d28b74c78dda88dff1bf031b9499", size = 24750031 },
-    { url = "https://files.pythonhosted.org/packages/90/7d/7541e559d7fce232ba34340b0953cac9af2344853d675dc2de01a4d3abc7/polars-0.20.31-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:24b82441f93409e0e8abd6f427b029db102f02b8de328cee9a680f84b84e3736", size = 28792870 },
-    { url = "https://files.pythonhosted.org/packages/72/6a/6bf5da56542ae976140dd30be950149146c361eb8dd6471fdb6d50ae7581/polars-0.20.31-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:87f43bce4d41abf8c8c5658d881e4b8378e5c61010a696bfea8b4106b908e916", size = 26994077 },
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+    { url = "https://files.pythonhosted.org/packages/51/a6/00e9c0cc08d8b279ee576dca105fb5b6c3f812f56ce6bbefdf127773641b/polars-1.6.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:6d1665c23e3574ebd47a26a5d7b619e6e73e53718c3b0bfd7d08b6a0a4ae7daa", size = 30510442 },
+    { url = "https://files.pythonhosted.org/packages/95/0d/7665314925d774236404919678c197abe4818d1820387017a23f21e27815/polars-1.6.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:d7f3abf085adf034720b358119c4c8e144bcc2d96010b7e7d0afa11b80da383c", size = 26758515 },
+    { url = "https://files.pythonhosted.org/packages/04/1c/1a0a0a2c076bec8501ada9496afe5486c9e994558b0c80057f7e3ee6ec16/polars-1.6.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a166adb429f8ee099c9d803e7470a80c76368437a8b272c67cef9eef6d5e9da1", size = 31869680 },
+    { url = "https://files.pythonhosted.org/packages/c1/95/224139dbd93ce450f194233f643f08e759f369c10c5bd62a13d615dd886c/polars-1.6.0-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:1c811b772c9476f7f0bb4445a8387d2ab6d86f5e79140b1bfba914a32788d261", size = 28441792 },
+    { url = "https://files.pythonhosted.org/packages/fa/cb/8f97ea9bbe41f862cc685b1f223ee8508c60f6510918de75637b3539e62d/polars-1.6.0-cp38-abi3-win_amd64.whl", hash = "sha256:ffae15ffa80fda5cc3af44a340b565bcf7f2ab6d7854d3f967baf505710c78e2", size = 31424668 },
 ]
 
 [[package]]
@@ -3240,7 +3243,7 @@ requires-dist = [
     { name = "numpy", specifier = ">=1.23.3" },
     { name = "pandas", specifier = ">=1.4.0,<=2.1.3" },
     { name = "pandas-stubs", marker = "extra == 'dev'", specifier = "==2.2.0.240218" },
-    { name = "polars", specifier = ">0.19.0" },
+    { name = "polars", specifier = ">=0.19.0" },
     { name = "pre-commit", marker = "extra == 'dev'", specifier = "==3.4.0" },
     { name = "protobuf", specifier = "<=4.24.4" },
     { name = "pyarrow", specifier = ">=8.0.0" },
@@ -3257,7 +3260,7 @@ requires-dist = [
     { name = "ruff", marker = "extra == 'dev'", specifier = "==0.2.1" },
     { name = "scikit-learn", specifier = ">=1.1.2" },
     { name = "scipy", specifier = ">=1.8.0" },
-    { name = "skimpy", marker = "extra == 'tutorials'", specifier = ">=0.0.11" },
+    { name = "skimpy", marker = "extra == 'tutorials'", specifier = "==0.0.15" },
     { name = "sphinx", marker = "extra == 'docs'", specifier = "==5.3.0" },
     { name = "sphinx-copybutton", marker = "extra == 'docs'", specifier = "==0.5.2" },
     { name = "sphinx-design", marker = "extra == 'docs'", specifier = "==0.3.0" },

From 3dddca6a064ae2179fb9b703b1458a59842d5fe3 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 14:21:00 +0200
Subject: [PATCH 15/38] update post-start.sh and Dockerfile

---
 .devcontainer/post-start.sh | 2 +-
 Dockerfile                  | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/.devcontainer/post-start.sh b/.devcontainer/post-start.sh
index 99298641..95312aa4 100644
--- a/.devcontainer/post-start.sh
+++ b/.devcontainer/post-start.sh
@@ -1,2 +1,2 @@
 #!/bin/bash
-uv sync --frozen --all-extras
\ No newline at end of file
+uv sync --all-extras
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile
index d8e4d884..6cffc0a0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -8,4 +8,4 @@ VOLUME psycop-common
 
 COPY . /app
 RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --frozen --all-extras
\ No newline at end of file
+    uv sync --all-extras
\ No newline at end of file

From 77ba0325dbd6ac28bcf1bfb09428093b0a50c54f Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 14:34:48 +0200
Subject: [PATCH 16/38] update 5 files update 5 files update post-start.sh,
 Makefile and tasks.py

---
 .devcontainer/post-start.sh                   |   1 +
 .pre-commit-config.yaml                       |  12 +-
 Makefile                                      |  26 +-
 lefthook.yml                                  |   2 +-
 .../processors/temporal.py                    |   7 +-
 tasks.py                                      | 261 +-----------------
 6 files changed, 21 insertions(+), 288 deletions(-)

diff --git a/.devcontainer/post-start.sh b/.devcontainer/post-start.sh
index 95312aa4..7f4398ef 100644
--- a/.devcontainer/post-start.sh
+++ b/.devcontainer/post-start.sh
@@ -1,2 +1,3 @@
 #!/bin/bash
+git init
 uv sync --all-extras
\ No newline at end of file
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index c0b0446a..85705fd7 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -17,14 +17,4 @@ repos:
           ]
         types_or: [ python, pyi, jupyter ]
       - id: ruff-format
-        types_or: [ python, pyi, jupyter ]
-
-  - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v2.3.0
-    hooks:
-      - id: check-yaml
-
-  - repo: https://github.com/repo-helper/pyproject-parser
-    rev: v0.7.0
-    hooks:
-      - id: check-pyproject
+        types_or: [ python, pyi, jupyter ]
\ No newline at end of file
diff --git a/Makefile b/Makefile
index da782e6c..e9f93efc 100644
--- a/Makefile
+++ b/Makefile
@@ -1,12 +1,14 @@
-.DEFAULT_GOAL := help
-help: 
-	@echo "This project uses Invoke (pyinvoke.org) for task management."
-	@echo Install it via 
-	@echo 
-	@echo "     pip install invoke"
-	@echo
-	@echo and then run 
-	@echo 
-	@echo "     inv --list"
-	@echo 
-	@echo to get available tasks.
\ No newline at end of file
+test-tutorials:
+	find docs/tutorials -name '*.ipynb' | grep -v 'nbconvert' | xargs jupyter nbconvert --to notebook --execute
+
+types:
+	uv run pyright src
+
+lint:
+	uv run pre-commit run --all-files
+
+test:
+	uv run pytest src -n auto -rfE --failed-first --benchmark-disable
+
+qtest:
+	uv run pytest src -n auto -rfE --failed-first --benchmark-disable --testmon
\ No newline at end of file
diff --git a/lefthook.yml b/lefthook.yml
index 14034829..cb1277dd 100644
--- a/lefthook.yml
+++ b/lefthook.yml
@@ -16,5 +16,5 @@ pre-commit:
   commands:
     format:
       glob: "*.{py}"
-      run: inv lint
+      run: make lint
       stage_fixed: true
\ No newline at end of file
diff --git a/src/timeseriesflattener/processors/temporal.py b/src/timeseriesflattener/processors/temporal.py
index 07f4a608..76282a79 100644
--- a/src/timeseriesflattener/processors/temporal.py
+++ b/src/timeseriesflattener/processors/temporal.py
@@ -130,10 +130,9 @@ def _aggregate_masked_frame(
     )
     rename_mapping = dict(value_columns)
 
-    for col in masked_frame.value_col_names:
-        with_fallback = grouped_frame.with_columns(cs.contains(col).fill_null(fallback)).rename(
-            rename_mapping
-        )
+    with_fallback = grouped_frame.with_columns(
+        cs.contains(*masked_frame.value_col_names).fill_null(fallback)
+    ).rename(rename_mapping)
 
     return with_fallback
 
diff --git a/tasks.py b/tasks.py
index 3f45cdf3..6da1e472 100644
--- a/tasks.py
+++ b/tasks.py
@@ -1,28 +1,11 @@
 """
-This project uses Invoke (pyinvoke.org) for task management.
-Install it via:
-
-```
-pip install invoke
-```
-
-And then run:
-
-```
-inv --list
-```
-
-If you do not wish to use invoke you can simply delete this file.
+Most tasks are in the makefile.
 """
 from __future__ import annotations
 
-import platform
-import re
 from dataclasses import dataclass
 from pathlib import Path
 
-from invoke import Context, Result, task  # type: ignore
-
 
 def echo_header(msg: str):
     print(f"\n--- {msg} ---")
@@ -42,206 +25,6 @@ class Emo:
     EXAMINE = "🔍"
 
 
-def git_init(c: Context, branch: str = "main"):
-    """Initialize a git repository if it does not exist yet."""
-    # If no .git directory exits
-    if not Path(".git").exists():
-        echo_header(f"{Emo.DO} Initializing Git repository")
-        c.run(f"git init -b {branch}")
-        c.run("git add .")
-        c.run("git commit -m 'Initial commit'")
-        print(f"{Emo.GOOD} Git repository initialized")
-    else:
-        print(f"{Emo.GOOD} Git repository already initialized")
-
-
-def setup_venv(c: Context, python_version: str) -> str:
-    venv_name = f'.venv{python_version.replace(".", "")}'
-
-    if not Path(venv_name).exists():
-        echo_header(f"{Emo.DO} Creating virtual environment for {python_version}{Emo.PY}")
-        c.run(f"python{python_version} -m venv {venv_name}")
-        print(f"{Emo.GOOD} Virtual environment created")
-    else:
-        print(f"{Emo.GOOD} Virtual environment already exists")
-
-    c.run(f"source {venv_name}/bin/activate")
-
-    return venv_name
-
-
-def _add_commit(c: Context, msg: str | None = None):
-    print("🔨 Adding and committing changes")
-    c.run("git add .")
-
-    if msg is None:
-        msg = input("Commit message: ")
-
-    c.run(f'git commit -m "{msg}"', pty=True, hide=True)
-    print("\n🤖 Changes added and committed\n")
-
-
-def is_uncommitted_changes(c: Context) -> bool:
-    git_status_result: Result = c.run("git status --porcelain", pty=True, hide=True)  # type: ignore
-
-    uncommitted_changes = git_status_result.stdout != ""
-    return uncommitted_changes
-
-
-def add_and_commit(c: Context, msg: str | None = None):
-    """Add and commit all changes."""
-    if is_uncommitted_changes(c):
-        uncommitted_changes_descr = c.run("git status --porcelain", pty=True, hide=True).stdout
-
-        echo_header(f"{Emo.WARN} Uncommitted changes detected")
-
-        for line in uncommitted_changes_descr.splitlines():
-            print(f"    {line.strip()}")
-        print("\n")
-        _add_commit(c, msg=msg)
-
-
-def branch_exists_on_remote(c: Context) -> bool:
-    branch_name = Path(".git/HEAD").read_text().split("/")[-1].strip()
-
-    branch_exists_result: Result = c.run(f"git ls-remote --heads origin {branch_name}", hide=True)  # type: ignore
-
-    return branch_name in branch_exists_result.stdout
-
-
-def update_branch(c: Context):
-    echo_header(f"{Emo.SYNC} Syncing branch with remote")
-
-    if not branch_exists_on_remote(c):
-        c.run("git push --set-upstream origin HEAD")
-    else:
-        print("Pulling")
-        c.run("git pull")
-        print("Pushing")
-        c.run("git push")
-
-
-def create_pr(c: Context):
-    c.run("gh pr create --web", pty=True)
-
-
-def update_pr(c: Context):
-    echo_header(f"{Emo.COMMUNICATE} Syncing PR")
-    # Get current branch name
-    branch_name = Path(".git/HEAD").read_text().split("/")[-1].strip()
-    pr_result: Result = c.run("gh pr list --state OPEN", pty=False, hide=True)  # type: ignore
-
-    if branch_name not in pr_result.stdout:
-        create_pr(c)
-    else:
-        open_web = input("Open in browser? [y/n] ")
-        if "y" in open_web.lower():
-            c.run("gh pr view --web", pty=True)
-
-
-def exit_if_error_in_stdout(result: Result):
-    # Find N remaining using regex
-
-    if "error" in result.stdout:
-        try:
-            errors_remaining = re.findall(r"\d+(?=( remaining))", result.stdout)[0]  # testing
-            if errors_remaining != "0":
-                exit(0)
-        except IndexError:
-            pass
-
-
-def pre_commit(c: Context):
-    """Run pre-commit checks."""
-
-    # Essential to have a clean working directory before pre-commit to avoid committing
-    # heterogenous files under a "style: linting" commit
-    echo_header(f"{Emo.CLEAN} Running pre-commit checks")
-    pre_commit_cmd = "pre-commit run --all-files"
-    result = c.run(pre_commit_cmd, pty=True, warn=True)
-
-    exit_if_error_in_stdout(result)  # type: ignore
-
-
-@task
-def types(c: Context):
-    echo_header(f"{Emo.CLEAN} Running static type checks")
-    c.run("pyright .", pty=True)
-
-
-@task
-def install(c: Context):
-    """Install the project in editable mode using pip install"""
-    echo_header(f"{Emo.DO} Installing project")
-    c.run("pip install -e '.[dev,test,docs,tutorials]'")
-
-
-@task
-def setup(c: Context, python_version: str = "3.9"):
-    """Confirm that a git repo exists and setup a virtual environment."""
-    git_init(c)
-    venv_name = setup_venv(c, python_version=python_version)
-    print(
-        f"{Emo.DO} Activate your virtual environment by running: \n\n\t\t source {venv_name}/bin/activate \n"
-    )
-    print(f"{Emo.DO} Then install the project by running: \n\n\t\t inv install\n")
-
-
-@task
-def update(c: Context):
-    """Update dependencies."""
-    echo_header(f"{Emo.DO} Updating project")
-    c.run("pip install --upgrade -e '.[dev,tests,docs]'")
-
-
-@task(iterable="pytest_args")
-def test(
-    c: Context,
-    pytest_args: list[str] = [],  # noqa
-    testmon: bool = True,
-):
-    """Run tests"""
-    echo_header(f"{Emo.TEST} Running tests")
-
-    if len(pytest_args) == 0:
-        pytest_args = [
-            "src",
-            "-n auto",
-            "-rfE",
-            "--failed-first",
-            "-p no:cov",
-            "--disable-warnings",
-            "-q",
-            "--testmon",
-            "--benchmark-disable",
-        ]
-    if testmon:
-        pytest_args.append("--testmon")
-
-    pytest_arg_str = " ".join(pytest_args)
-
-    test_result: Result = c.run(f"pytest {pytest_arg_str}", warn=True, pty=True)  # type: ignore
-
-    # If "failed" in the pytest results
-    if "failed" in test_result.stdout:
-        print("\n\n\n")
-        echo_header("Failed tests")
-
-        # Get lines with "FAILED" in them from the .pytest_results file
-        failed_tests = [line for line in test_result.stdout if line.startswith("FAILED")]
-
-        for line in failed_tests:
-            # Remove from start of line until /test_
-            line_sans_prefix = line[line.find("test_") :]
-
-            # Keep only that after ::
-            line_sans_suffix = line_sans_prefix[line_sans_prefix.find("::") + 2 :]
-            print(f"FAILED {Emo.FAIL} #{line_sans_suffix}     ")
-
-    if test_result.return_code != 0:
-        exit(test_result.return_code)
-
-
 def test_for_rej():
     # Get all paths in current directory or subdirectories that end in .rej
     rej_files = list(Path().rglob("*.rej"))
@@ -252,45 +35,3 @@ def test_for_rej():
             print(f"    /{file}")
         print("\nResolve the conflicts and try again. \n")
         exit(1)
-
-
-@task
-def lint(c: Context):
-    """Lint the project using the pre-commit hooks and mypy."""
-    test_for_rej()
-    pre_commit(c=c)
-
-
-@task
-def test_tutorials(c: Context):
-    c.run(
-        "find docs/tutorials -name '*.ipynb' | grep -v 'nbconvert' | xargs jupyter nbconvert --to notebook --execute"
-    )
-
-
-@task
-def pr(c: Context):
-    """Run all checks and update the PR."""
-    add_and_commit(c)
-    lint(c)
-    test(c)
-    test_tutorials(c)
-    update_branch(c)
-    update_pr(c)
-
-
-@task
-def docs(c: Context, view: bool = False, view_only: bool = False):
-    """
-    Build and view docs. If neither build or view are specified, both are run.
-    """
-    if not view_only:
-        echo_header(f"{Emo.DO} Building docs")
-        c.run("sphinx-build -b html docs docs/_build/html")
-    if view or view_only:
-        echo_header(f"{Emo.EXAMINE} open docs in browser")
-        # check the OS and open the docs in the browser
-        if platform.system() == "Windows":
-            c.run("start docs/_build/html/index.html")
-        else:
-            c.run("open docs/_build/html/index.html")

From 02fc7221339eb87c685f395a20d58b52969d3567 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 14:35:31 +0200
Subject: [PATCH 17/38] chore: update action.yml

---
 .github/actions/test/action.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/actions/test/action.yml b/.github/actions/test/action.yml
index c7800d53..74a13b7e 100644
--- a/.github/actions/test/action.yml
+++ b/.github/actions/test/action.yml
@@ -26,4 +26,4 @@ runs:
       uses: devcontainers/ci@v0.3
       with:
         runCmd: |
-          inv test --pytest-args="-n auto"
\ No newline at end of file
+          make test
\ No newline at end of file

From 8ad9ef785c01c41c6029a7fc5b0a791b68c33b47 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 14:39:48 +0200
Subject: [PATCH 18/38] update action.yml, static_type_checks.yml and Makefile

---
 .github/actions/test_tutorials/action.yml | 19 +++++++++----------
 .github/workflows/static_type_checks.yml  |  5 +++--
 Makefile                                  |  3 +++
 3 files changed, 15 insertions(+), 12 deletions(-)

diff --git a/.github/actions/test_tutorials/action.yml b/.github/actions/test_tutorials/action.yml
index 0f65e059..c18b0f59 100644
--- a/.github/actions/test_tutorials/action.yml
+++ b/.github/actions/test_tutorials/action.yml
@@ -8,27 +8,26 @@ runs:
   using: "composite"
   steps:
     ### Setup prerequisites
+    - name: Set up uv
+      shell: bash
+      # Install a specific uv version using the installer
+      run: curl -LsSf https://astral.sh/uv/0.4.0/install.sh | sh
+
     - name: Set up Python
-      uses: actions/setup-python@v4
-      with:
-        python-version: ${{ inputs.python-version }}
+      shell: bash
+      run: uv python install
 
     # Installing
     - name: Install dependencies
       shell: bash
       run: |
-        pip install invoke
-        inv install
+        make install
 
     ### Run tests
-    - name: Install jupyter
-      shell: bash
-      run: |
-        pip install jupyter
     - name: Compile notebooks and check for errors
       shell: bash
       run: |
-        inv test-tutorials
+        make test-tutorials
         for notebook in tutorials/*.ipynb; do
           if grep -q "\"cell_type\": \"error\"" $notebook; then
             echo "Error cell found in $notebook"
diff --git a/.github/workflows/static_type_checks.yml b/.github/workflows/static_type_checks.yml
index 94d3e281..46a3d774 100644
--- a/.github/workflows/static_type_checks.yml
+++ b/.github/workflows/static_type_checks.yml
@@ -18,7 +18,8 @@ jobs:
         uses: actions/checkout@v4
 
       - name: Create github hosts file
-        run: | # If this file is not created, the dev container fails because of non-existent mount
+        run:
+          | # If this file is not created, the dev container fails because of non-existent mount
           mkdir -p ~/.config/gh
           touch ~/.config/gh/hosts.yml
 
@@ -26,4 +27,4 @@ jobs:
         uses: devcontainers/ci@v0.3
         with:
           runCmd: |
-            inv types
\ No newline at end of file
+            make types
diff --git a/Makefile b/Makefile
index e9f93efc..08b37f2b 100644
--- a/Makefile
+++ b/Makefile
@@ -4,6 +4,9 @@ test-tutorials:
 types:
 	uv run pyright src
 
+install:
+	uv sync --all-extras
+
 lint:
 	uv run pre-commit run --all-files
 

From a2b5438acf00fa5f4a0287dc2f6106fe0f8561ee Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 14:42:03 +0200
Subject: [PATCH 19/38] build: update Makefile

---
 Makefile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Makefile b/Makefile
index 08b37f2b..e0f1fa03 100644
--- a/Makefile
+++ b/Makefile
@@ -1,5 +1,5 @@
 test-tutorials:
-	find docs/tutorials -name '*.ipynb' | grep -v 'nbconvert' | xargs jupyter nbconvert --to notebook --execute
+	find docs/tutorials -name '*.ipynb' | grep -v 'nbconvert' | xargs uv run jupyter nbconvert --to notebook --execute
 
 types:
 	uv run pyright src

From 35deb509df705332007df55a363a8222ba16f1b0 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 14:42:43 +0200
Subject: [PATCH 20/38] build: update Dockerfile

---
 Dockerfile | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 6cffc0a0..d115ee2a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -2,6 +2,25 @@ FROM python:3.9
 ENV UV_SYSTEM_PYTHON=true
 COPY --from=ghcr.io/astral-sh/uv:0.4.0 /uv /bin/uv
 
+RUN apt-get update && apt-get install -y curl
+
+# NVM and NPM are required for pyright
+# Install nvm
+# Explicitly set HOME environment variable 
+ENV NVM_DIR=$HOME/.nvm
+RUN mkdir -p $NVM_DIR
+ENV NODE_VERSION=18.2.0
+
+# Install nvm with node and npm
+RUN curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.5/install.sh | bash \
+    && . $NVM_DIR/nvm.sh \
+    && nvm install $NODE_VERSION \
+    && nvm alias default $NODE_VERSION \
+    && nvm use default
+
+ENV NODE_PATH=$NVM_DIR/v$NODE_VERSION/lib/node_modules
+ENV PATH=$NVM_DIR/versions/node/v$NODE_VERSION/bin:$PATH
+
 # Set the working directory to /app
 WORKDIR /app
 VOLUME psycop-common

From aa780c14a34b1f34bfc60b4976b8909fe5aa95f6 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 14:47:15 +0200
Subject: [PATCH 21/38] docs: update 03_text.ipynb

---
 docs/tutorials/03_text.ipynb | 101 +++++++++++++----------------------
 1 file changed, 38 insertions(+), 63 deletions(-)

diff --git a/docs/tutorials/03_text.ipynb b/docs/tutorials/03_text.ipynb
index f05175a5..eec2d047 100644
--- a/docs/tutorials/03_text.ipynb
+++ b/docs/tutorials/03_text.ipynb
@@ -9,7 +9,7 @@
                 "\n",
                 "So far, the tutorials have dealt with _tabular_ data only. This tutorial will show you to make predictors out of text features, such as clinical notes, within `timeseriesflattener`.\n",
                 "\n",
-                "Specifically, this tutorial will cover *how to generate flattened predictors from already embedded text.*"
+                "Specifically, this tutorial will cover _how to generate flattened predictors from already embedded text._\n"
             ]
         },
         {
@@ -19,7 +19,7 @@
             "source": [
                 "## The dataset\n",
                 "\n",
-                "To start out, let's load a synthetic dataset containing text. As with all other features, each row in the dataset needs an ID, a timestamp, and the feature value. "
+                "To start out, let's load a synthetic dataset containing text. As with all other features, each row in the dataset needs an ID, a timestamp, and the feature value.\n"
             ]
         },
         {
@@ -48,21 +48,21 @@
                             "  white-space: pre-wrap;\n",
                             "}\n",
                             "</style>\n",
-                            "<small>shape: (5, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th><th>value</th></tr><tr><td>i64</td><td>datetime[μs]</td><td>str</td></tr></thead><tbody><tr><td>4647</td><td>1967-07-19 00:22:00</td><td>&quot;The patient we…</td></tr><tr><td>2007</td><td>1966-11-25 02:02:00</td><td>&quot;The patient is…</td></tr><tr><td>5799</td><td>1967-09-19 12:31:00</td><td>&quot;The patient, d…</td></tr><tr><td>1319</td><td>1969-07-21 23:16:00</td><td>&quot;The patient ha…</td></tr><tr><td>4234</td><td>1966-04-14 22:04:00</td><td>&quot;The patient ha…</td></tr></tbody></table></div>"
+                            "<small>shape: (5, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th><th>value</th></tr><tr><td>i64</td><td>datetime[μs]</td><td>str</td></tr></thead><tbody><tr><td>4647</td><td>1967-07-19 00:22:00</td><td>&quot;The patient went into a medica…</td></tr><tr><td>2007</td><td>1966-11-25 02:02:00</td><td>&quot;The patient is taken to the em…</td></tr><tr><td>5799</td><td>1967-09-19 12:31:00</td><td>&quot;The patient, described as a 7-…</td></tr><tr><td>1319</td><td>1969-07-21 23:16:00</td><td>&quot;The patient had been left on a…</td></tr><tr><td>4234</td><td>1966-04-14 22:04:00</td><td>&quot;The patient had had some sever…</td></tr></tbody></table></div>"
                         ],
                         "text/plain": [
                             "shape: (5, 3)\n",
-                            "┌───────────┬─────────────────────┬───────────────────────────────────┐\n",
-                            "│ entity_id ┆ timestamp           ┆ value                             │\n",
-                            "│ ---       ┆ ---                 ┆ ---                               │\n",
-                            "│ i64       ┆ datetime[μs]        ┆ str                               │\n",
-                            "╞═══════════╪═════════════════════╪═══════════════════════════════════╡\n",
-                            "│ 4647      ┆ 1967-07-19 00:22:00 ┆ The patient went into a medicall… │\n",
-                            "│ 2007      ┆ 1966-11-25 02:02:00 ┆ The patient is taken to the emer… │\n",
-                            "│ 5799      ┆ 1967-09-19 12:31:00 ┆ The patient, described as a 7-mo… │\n",
-                            "│ 1319      ┆ 1969-07-21 23:16:00 ┆ The patient had been left on a b… │\n",
-                            "│ 4234      ┆ 1966-04-14 22:04:00 ┆ The patient had had some severe … │\n",
-                            "└───────────┴─────────────────────┴───────────────────────────────────┘"
+                            "┌───────────┬─────────────────────┬─────────────────────────────────┐\n",
+                            "│ entity_id ┆ timestamp           ┆ value                           │\n",
+                            "│ ---       ┆ ---                 ┆ ---                             │\n",
+                            "│ i64       ┆ datetime[μs]        ┆ str                             │\n",
+                            "╞═══════════╪═════════════════════╪═════════════════════════════════╡\n",
+                            "│ 4647      ┆ 1967-07-19 00:22:00 ┆ The patient went into a medica… │\n",
+                            "│ 2007      ┆ 1966-11-25 02:02:00 ┆ The patient is taken to the em… │\n",
+                            "│ 5799      ┆ 1967-09-19 12:31:00 ┆ The patient, described as a 7-… │\n",
+                            "│ 1319      ┆ 1969-07-21 23:16:00 ┆ The patient had been left on a… │\n",
+                            "│ 4234      ┆ 1966-04-14 22:04:00 ┆ The patient had had some sever… │\n",
+                            "└───────────┴─────────────────────┴─────────────────────────────────┘"
                         ]
                     },
                     "execution_count": 2,
@@ -83,14 +83,14 @@
                 "\n",
                 "As generating text embeddings can often take a while, it can be an advantageous to embed the text before using `timeseriesflattener` to speed up the computation if you're generating multiple datasets. This first block will show you how to format a dataframe with embedded text for `timeseriesflattener`.\n",
                 "\n",
-                "To start, let's embed the synthetic text data using TF-IDF. You can use any form of text-embedding you want - the only constraint is that the result of the embedding function should be a dataframe with an `entity_id_col`, `timestamp_col` and any number of columns containing the embeddings, with a single value in each column. \n",
+                "To start, let's embed the synthetic text data using TF-IDF. You can use any form of text-embedding you want - the only constraint is that the result of the embedding function should be a dataframe with an `entity_id_col`, `timestamp_col` and any number of columns containing the embeddings, with a single value in each column.\n",
                 "\n",
-                "For purposes of demonstration, we will fit a small TF-IDF model to the data and use it to embed the text."
+                "For purposes of demonstration, we will fit a small TF-IDF model to the data and use it to embed the text.\n"
             ]
         },
         {
             "cell_type": "code",
-            "execution_count": 7,
+            "execution_count": 8,
             "metadata": {},
             "outputs": [],
             "source": [
@@ -109,51 +109,26 @@
                 "# embed text\n",
                 "embedded_text = embed_text_to_df(text=synth_text[\"value\"].to_list())\n",
                 "# drop the text column from the original dataframe\n",
-                "metadata_only = synth_text.drop(columns=[\"value\"])\n",
+                "metadata_only = synth_text.drop([\"value\"])\n",
                 "# concatenate the metadata and the embedded text\n",
                 "embedded_text_with_metadata = pl.concat([metadata_only, embedded_text], how=\"horizontal\")"
             ]
         },
         {
             "cell_type": "code",
-            "execution_count": 9,
+            "execution_count": 4,
             "metadata": {},
             "outputs": [
                 {
-                    "data": {
-                        "text/html": [
-                            "<div><style>\n",
-                            ".dataframe > thead > tr,\n",
-                            ".dataframe > tbody > tr {\n",
-                            "  text-align: right;\n",
-                            "  white-space: pre-wrap;\n",
-                            "}\n",
-                            "</style>\n",
-                            "<small>shape: (5, 12)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th><th>and</th><th>for</th><th>in</th><th>of</th><th>or</th><th>patient</th><th>that</th><th>the</th><th>to</th><th>was</th></tr><tr><td>i64</td><td>datetime[μs]</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>4647</td><td>1967-07-19 00:22:00</td><td>0.175872</td><td>0.182066</td><td>0.249848</td><td>0.15843</td><td>0.0</td><td>0.023042</td><td>0.311389</td><td>0.529966</td><td>0.490203</td><td>0.479312</td></tr><tr><td>2007</td><td>1966-11-25 02:02:00</td><td>0.24487</td><td>0.0</td><td>0.135282</td><td>0.064337</td><td>0.465084</td><td>0.336859</td><td>0.151743</td><td>0.729861</td><td>0.179161</td><td>0.0</td></tr><tr><td>5799</td><td>1967-09-19 12:31:00</td><td>0.192367</td><td>0.232332</td><td>0.283402</td><td>0.336952</td><td>0.0</td><td>0.176422</td><td>0.238416</td><td>0.646879</td><td>0.250217</td><td>0.382277</td></tr><tr><td>1319</td><td>1969-07-21 23:16:00</td><td>0.165635</td><td>0.200046</td><td>0.183015</td><td>0.261115</td><td>0.125837</td><td>0.151906</td><td>0.205285</td><td>0.759528</td><td>0.403961</td><td>0.098747</td></tr><tr><td>4234</td><td>1966-04-14 22:04:00</td><td>0.493461</td><td>0.119196</td><td>0.272619</td><td>0.207444</td><td>0.0</td><td>0.045256</td><td>0.183475</td><td>0.588324</td><td>0.433253</td><td>0.235349</td></tr></tbody></table></div>"
-                        ],
-                        "text/plain": [
-                            "shape: (5, 12)\n",
-                            "┌───────────┬────────────────┬──────────┬──────────┬───┬──────────┬──────────┬──────────┬──────────┐\n",
-                            "│ entity_id ┆ timestamp      ┆ and      ┆ for      ┆ … ┆ that     ┆ the      ┆ to       ┆ was      │\n",
-                            "│ ---       ┆ ---            ┆ ---      ┆ ---      ┆   ┆ ---      ┆ ---      ┆ ---      ┆ ---      │\n",
-                            "│ i64       ┆ datetime[μs]   ┆ f64      ┆ f64      ┆   ┆ f64      ┆ f64      ┆ f64      ┆ f64      │\n",
-                            "╞═══════════╪════════════════╪══════════╪══════════╪═══╪══════════╪══════════╪══════════╪══════════╡\n",
-                            "│ 4647      ┆ 1967-07-19     ┆ 0.175872 ┆ 0.182066 ┆ … ┆ 0.311389 ┆ 0.529966 ┆ 0.490203 ┆ 0.479312 │\n",
-                            "│           ┆ 00:22:00       ┆          ┆          ┆   ┆          ┆          ┆          ┆          │\n",
-                            "│ 2007      ┆ 1966-11-25     ┆ 0.24487  ┆ 0.0      ┆ … ┆ 0.151743 ┆ 0.729861 ┆ 0.179161 ┆ 0.0      │\n",
-                            "│           ┆ 02:02:00       ┆          ┆          ┆   ┆          ┆          ┆          ┆          │\n",
-                            "│ 5799      ┆ 1967-09-19     ┆ 0.192367 ┆ 0.232332 ┆ … ┆ 0.238416 ┆ 0.646879 ┆ 0.250217 ┆ 0.382277 │\n",
-                            "│           ┆ 12:31:00       ┆          ┆          ┆   ┆          ┆          ┆          ┆          │\n",
-                            "│ 1319      ┆ 1969-07-21     ┆ 0.165635 ┆ 0.200046 ┆ … ┆ 0.205285 ┆ 0.759528 ┆ 0.403961 ┆ 0.098747 │\n",
-                            "│           ┆ 23:16:00       ┆          ┆          ┆   ┆          ┆          ┆          ┆          │\n",
-                            "│ 4234      ┆ 1966-04-14     ┆ 0.493461 ┆ 0.119196 ┆ … ┆ 0.183475 ┆ 0.588324 ┆ 0.433253 ┆ 0.235349 │\n",
-                            "│           ┆ 22:04:00       ┆          ┆          ┆   ┆          ┆          ┆          ┆          │\n",
-                            "└───────────┴────────────────┴──────────┴──────────┴───┴──────────┴──────────┴──────────┴──────────┘"
-                        ]
-                    },
-                    "execution_count": 9,
-                    "metadata": {},
-                    "output_type": "execute_result"
+                    "ename": "NameError",
+                    "evalue": "name 'embedded_text_with_metadata' is not defined",
+                    "output_type": "error",
+                    "traceback": [
+                        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+                        "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+                        "Cell \u001b[0;32mIn[4], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43membedded_text_with_metadata\u001b[49m\u001b[38;5;241m.\u001b[39mhead()\n",
+                        "\u001b[0;31mNameError\u001b[0m: name 'embedded_text_with_metadata' is not defined"
+                    ]
                 }
             ],
             "source": [
@@ -164,12 +139,12 @@
             "cell_type": "markdown",
             "metadata": {},
             "source": [
-                "Now that we have our embeddings in a dataframe including the `entity_id` and `timestamp`, we can simply pass it to `PredictorSpec`!"
+                "Now that we have our embeddings in a dataframe including the `entity_id` and `timestamp`, we can simply pass it to `PredictorSpec`!\n"
             ]
         },
         {
             "cell_type": "code",
-            "execution_count": 15,
+            "execution_count": null,
             "metadata": {},
             "outputs": [],
             "source": [
@@ -196,19 +171,19 @@
             "cell_type": "markdown",
             "metadata": {},
             "source": [
-                "Let's make some features! "
+                "Let's make some features!\n"
             ]
         },
         {
             "cell_type": "markdown",
             "metadata": {},
             "source": [
-                "We are creating 10*2=20 features: 1 for each embedding for each lookbehind (365 and 730 days), using the mean aggregation function."
+                "We are creating 10\\*2=20 features: 1 for each embedding for each lookbehind (365 and 730 days), using the mean aggregation function.\n"
             ]
         },
         {
             "cell_type": "code",
-            "execution_count": 16,
+            "execution_count": null,
             "metadata": {},
             "outputs": [
                 {
@@ -285,12 +260,12 @@
             "cell_type": "markdown",
             "metadata": {},
             "source": [
-                "Let's check the output."
+                "Let's check the output.\n"
             ]
         },
         {
             "cell_type": "code",
-            "execution_count": 29,
+            "execution_count": null,
             "metadata": {},
             "outputs": [
                 {
@@ -356,7 +331,7 @@
             "cell_type": "markdown",
             "metadata": {},
             "source": [
-                "And just like that, you're ready to make a prediction model!"
+                "And just like that, you're ready to make a prediction model!\n"
             ]
         },
         {
@@ -381,7 +356,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.12.2"
+            "version": "3.9.18"
         },
         "orig_nbformat": 4,
         "vscode": {
@@ -392,4 +367,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 2
-}
\ No newline at end of file
+}

From bd5be7c0e933d8020784faf01f17200f255a4709 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Fri, 30 Aug 2024 14:51:28 +0200
Subject: [PATCH 22/38] docs: update 03_text.ipynb

---
 docs/tutorials/03_text.ipynb | 144 ++++++++++++++++++-----------------
 1 file changed, 76 insertions(+), 68 deletions(-)

diff --git a/docs/tutorials/03_text.ipynb b/docs/tutorials/03_text.ipynb
index eec2d047..64cb46b9 100644
--- a/docs/tutorials/03_text.ipynb
+++ b/docs/tutorials/03_text.ipynb
@@ -24,7 +24,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 1,
+            "execution_count": 10,
             "metadata": {},
             "outputs": [],
             "source": [
@@ -35,7 +35,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 2,
+            "execution_count": 11,
             "metadata": {},
             "outputs": [
                 {
@@ -65,7 +65,7 @@
                             "└───────────┴─────────────────────┴─────────────────────────────────┘"
                         ]
                     },
-                    "execution_count": 2,
+                    "execution_count": 11,
                     "metadata": {},
                     "output_type": "execute_result"
                 }
@@ -90,7 +90,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 8,
+            "execution_count": 12,
             "metadata": {},
             "outputs": [],
             "source": [
@@ -116,19 +116,44 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 4,
+            "execution_count": 13,
             "metadata": {},
             "outputs": [
                 {
-                    "ename": "NameError",
-                    "evalue": "name 'embedded_text_with_metadata' is not defined",
-                    "output_type": "error",
-                    "traceback": [
-                        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-                        "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-                        "Cell \u001b[0;32mIn[4], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43membedded_text_with_metadata\u001b[49m\u001b[38;5;241m.\u001b[39mhead()\n",
-                        "\u001b[0;31mNameError\u001b[0m: name 'embedded_text_with_metadata' is not defined"
-                    ]
+                    "data": {
+                        "text/html": [
+                            "<div><style>\n",
+                            ".dataframe > thead > tr,\n",
+                            ".dataframe > tbody > tr {\n",
+                            "  text-align: right;\n",
+                            "  white-space: pre-wrap;\n",
+                            "}\n",
+                            "</style>\n",
+                            "<small>shape: (5, 12)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th><th>and</th><th>for</th><th>in</th><th>of</th><th>or</th><th>patient</th><th>that</th><th>the</th><th>to</th><th>was</th></tr><tr><td>i64</td><td>datetime[μs]</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>4647</td><td>1967-07-19 00:22:00</td><td>0.175872</td><td>0.182066</td><td>0.249848</td><td>0.15843</td><td>0.0</td><td>0.023042</td><td>0.311389</td><td>0.529966</td><td>0.490203</td><td>0.479312</td></tr><tr><td>2007</td><td>1966-11-25 02:02:00</td><td>0.24487</td><td>0.0</td><td>0.135282</td><td>0.064337</td><td>0.465084</td><td>0.336859</td><td>0.151743</td><td>0.729861</td><td>0.179161</td><td>0.0</td></tr><tr><td>5799</td><td>1967-09-19 12:31:00</td><td>0.192367</td><td>0.232332</td><td>0.283402</td><td>0.336952</td><td>0.0</td><td>0.176422</td><td>0.238416</td><td>0.646879</td><td>0.250217</td><td>0.382277</td></tr><tr><td>1319</td><td>1969-07-21 23:16:00</td><td>0.165635</td><td>0.200046</td><td>0.183015</td><td>0.261115</td><td>0.125837</td><td>0.151906</td><td>0.205285</td><td>0.759528</td><td>0.403961</td><td>0.098747</td></tr><tr><td>4234</td><td>1966-04-14 22:04:00</td><td>0.493461</td><td>0.119196</td><td>0.272619</td><td>0.207444</td><td>0.0</td><td>0.045256</td><td>0.183475</td><td>0.588324</td><td>0.433253</td><td>0.235349</td></tr></tbody></table></div>"
+                        ],
+                        "text/plain": [
+                            "shape: (5, 12)\n",
+                            "┌───────────┬────────────────┬──────────┬──────────┬───┬──────────┬──────────┬──────────┬──────────┐\n",
+                            "│ entity_id ┆ timestamp      ┆ and      ┆ for      ┆ … ┆ that     ┆ the      ┆ to       ┆ was      │\n",
+                            "│ ---       ┆ ---            ┆ ---      ┆ ---      ┆   ┆ ---      ┆ ---      ┆ ---      ┆ ---      │\n",
+                            "│ i64       ┆ datetime[μs]   ┆ f64      ┆ f64      ┆   ┆ f64      ┆ f64      ┆ f64      ┆ f64      │\n",
+                            "╞═══════════╪════════════════╪══════════╪══════════╪═══╪══════════╪══════════╪══════════╪══════════╡\n",
+                            "│ 4647      ┆ 1967-07-19     ┆ 0.175872 ┆ 0.182066 ┆ … ┆ 0.311389 ┆ 0.529966 ┆ 0.490203 ┆ 0.479312 │\n",
+                            "│           ┆ 00:22:00       ┆          ┆          ┆   ┆          ┆          ┆          ┆          │\n",
+                            "│ 2007      ┆ 1966-11-25     ┆ 0.24487  ┆ 0.0      ┆ … ┆ 0.151743 ┆ 0.729861 ┆ 0.179161 ┆ 0.0      │\n",
+                            "│           ┆ 02:02:00       ┆          ┆          ┆   ┆          ┆          ┆          ┆          │\n",
+                            "│ 5799      ┆ 1967-09-19     ┆ 0.192367 ┆ 0.232332 ┆ … ┆ 0.238416 ┆ 0.646879 ┆ 0.250217 ┆ 0.382277 │\n",
+                            "│           ┆ 12:31:00       ┆          ┆          ┆   ┆          ┆          ┆          ┆          │\n",
+                            "│ 1319      ┆ 1969-07-21     ┆ 0.165635 ┆ 0.200046 ┆ … ┆ 0.205285 ┆ 0.759528 ┆ 0.403961 ┆ 0.098747 │\n",
+                            "│           ┆ 23:16:00       ┆          ┆          ┆   ┆          ┆          ┆          ┆          │\n",
+                            "│ 4234      ┆ 1966-04-14     ┆ 0.493461 ┆ 0.119196 ┆ … ┆ 0.183475 ┆ 0.588324 ┆ 0.433253 ┆ 0.235349 │\n",
+                            "│           ┆ 22:04:00       ┆          ┆          ┆   ┆          ┆          ┆          ┆          │\n",
+                            "└───────────┴────────────────┴──────────┴──────────┴───┴──────────┴──────────┴──────────┴──────────┘"
+                        ]
+                    },
+                    "execution_count": 13,
+                    "metadata": {},
+                    "output_type": "execute_result"
                 }
             ],
             "source": [
@@ -144,7 +169,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 14,
             "metadata": {},
             "outputs": [],
             "source": [
@@ -183,21 +208,18 @@
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 15,
             "metadata": {},
             "outputs": [
                 {
                     "data": {
-                        "text/html": [
-                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/au554730/Desktop/Projects/timeseriesflattener/.venv/lib/python3.9/site-packages/rich/live.py:231: \n",
-                            "UserWarning: install \"ipywidgets\" for Jupyter support\n",
-                            "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-                            "</pre>\n"
-                        ],
+                        "application/vnd.jupyter.widget-view+json": {
+                            "model_id": "00b7f5319c1d42db807cc7976df1e127",
+                            "version_major": 2,
+                            "version_minor": 0
+                        },
                         "text/plain": [
-                            "/Users/au554730/Desktop/Projects/timeseriesflattener/.venv/lib/python3.9/site-packages/rich/live.py:231: \n",
-                            "UserWarning: install \"ipywidgets\" for Jupyter support\n",
-                            "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+                            "Output()"
                         ]
                     },
                     "metadata": {},
@@ -225,19 +247,6 @@
                     },
                     "metadata": {},
                     "output_type": "display_data"
-                },
-                {
-                    "data": {
-                        "text/html": [
-                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
-                            "</pre>\n"
-                        ],
-                        "text/plain": [
-                            "\n"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
                 }
             ],
             "source": [
@@ -265,7 +274,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 16,
             "metadata": {},
             "outputs": [
                 {
@@ -278,43 +287,42 @@
                             "  white-space: pre-wrap;\n",
                             "}\n",
                             "</style>\n",
-                            "<small>shape: (5, 23)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th><th>prediction_time_uuid</th><th>pred_tfidf_and_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_for_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_in_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_of_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_or_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_patient_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_that_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_the_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_to_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_was_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_and_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_for_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_in_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_of_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_or_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_patient_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_that_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_the_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_to_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_was_within_0_to_730_days_mean_fallback_nan</th></tr><tr><td>i64</td><td>datetime[μs]</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>1660</td><td>1968-08-04 02:05:00</td><td>&quot;1660-1968-08-0…</td><td>0.093117</td><td>0.028116</td><td>0.102888</td><td>0.146794</td><td>0.67206</td><td>0.298894</td><td>0.173111</td><td>0.55509</td><td>0.227099</td><td>0.16654</td><td>0.093117</td><td>0.028116</td><td>0.102888</td><td>0.146794</td><td>0.67206</td><td>0.298894</td><td>0.173111</td><td>0.55509</td><td>0.227099</td><td>0.16654</td></tr><tr><td>5570</td><td>1966-07-12 10:54:00</td><td>&quot;5570-1966-07-1…</td><td>0.611529</td><td>0.0</td><td>0.0</td><td>0.321347</td><td>0.0</td><td>0.280419</td><td>0.378958</td><td>0.280419</td><td>0.298286</td><td>0.364574</td><td>0.611529</td><td>0.0</td><td>0.0</td><td>0.321347</td><td>0.0</td><td>0.280419</td><td>0.378958</td><td>0.280419</td><td>0.298286</td><td>0.364574</td></tr><tr><td>7337</td><td>1966-06-28 10:34:00</td><td>&quot;7337-1966-06-2…</td><td>0.231068</td><td>0.139536</td><td>0.127656</td><td>0.303555</td><td>0.0</td><td>0.158935</td><td>0.071595</td><td>0.847656</td><td>0.225416</td><td>0.137755</td><td>0.231068</td><td>0.139536</td><td>0.127656</td><td>0.303555</td><td>0.0</td><td>0.158935</td><td>0.071595</td><td>0.847656</td><td>0.225416</td><td>0.137755</td></tr><tr><td>4234</td><td>1969-08-09 12:46:00</td><td>&quot;4234-1969-08-0…</td><td>0.493461</td><td>0.119196</td><td>0.272619</td><td>0.207444</td><td>0.0</td><td>0.045256</td><td>0.183475</td><td>0.588324</td><td>0.433253</td><td>0.235349</td><td>0.493461</td><td>0.119196</td><td>0.272619</td><td>0.207444</td><td>0.0</td><td>0.045256</td><td>0.183475</td><td>0.588324</td><td>0.433253</td><td>0.235349</td></tr><tr><td>5799</td><td>1966-12-15 08:15:00</td><td>&quot;5799-1966-12-1…</td><td>0.192367</td><td>0.232332</td><td>0.283402</td><td>0.336952</td><td>0.0</td><td>0.176422</td><td>0.238416</td><td>0.646879</td><td>0.250217</td><td>0.382277</td><td>0.192367</td><td>0.232332</td><td>0.283402</td><td>0.336952</td><td>0.0</td><td>0.176422</td><td>0.238416</td><td>0.646879</td><td>0.250217</td><td>0.382277</td></tr></tbody></table></div>"
+                            "<small>shape: (5, 23)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>entity_id</th><th>timestamp</th><th>prediction_time_uuid</th><th>pred_tfidf_and_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_for_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_in_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_of_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_or_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_patient_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_that_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_the_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_to_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_was_within_0_to_365_days_mean_fallback_nan</th><th>pred_tfidf_and_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_for_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_in_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_of_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_or_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_patient_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_that_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_the_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_to_within_0_to_730_days_mean_fallback_nan</th><th>pred_tfidf_was_within_0_to_730_days_mean_fallback_nan</th></tr><tr><td>i64</td><td>datetime[μs]</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>6840</td><td>1965-11-02 07:17:00</td><td>&quot;6840-1965-11-02 07:17:00.00000…</td><td>0.155821</td><td>0.376386</td><td>0.258256</td><td>0.573168</td><td>0.355142</td><td>0.071452</td><td>0.096561</td><td>0.28581</td><td>0.45603</td><td>0.092896</td><td>0.155821</td><td>0.376386</td><td>0.258256</td><td>0.573168</td><td>0.355142</td><td>0.071452</td><td>0.096561</td><td>0.28581</td><td>0.45603</td><td>0.092896</td></tr><tr><td>2039</td><td>1966-04-20 05:06:00</td><td>&quot;2039-1966-04-20 05:06:00.00000…</td><td>0.108015</td><td>0.0</td><td>0.596744</td><td>0.11352</td><td>0.0</td><td>0.099062</td><td>0.133872</td><td>0.693431</td><td>0.210747</td><td>0.257581</td><td>0.108015</td><td>0.0</td><td>0.596744</td><td>0.11352</td><td>0.0</td><td>0.099062</td><td>0.133872</td><td>0.693431</td><td>0.210747</td><td>0.257581</td></tr><tr><td>9496</td><td>1966-12-06 06:44:00</td><td>&quot;9496-1966-12-06 06:44:00.00000…</td><td>0.279955</td><td>0.0</td><td>0.30933</td><td>0.294222</td><td>0.0</td><td>0.256749</td><td>0.0</td><td>0.513498</td><td>0.546216</td><td>0.3338</td><td>0.279955</td><td>0.0</td><td>0.30933</td><td>0.294222</td><td>0.0</td><td>0.256749</td><td>0.0</td><td>0.513498</td><td>0.546216</td><td>0.3338</td></tr><tr><td>7281</td><td>1967-06-05 00:41:00</td><td>&quot;7281-1967-06-05 00:41:00.00000…</td><td>0.289663</td><td>0.04373</td><td>0.280049</td><td>0.304425</td><td>0.385111</td><td>0.332065</td><td>0.269251</td><td>0.464891</td><td>0.211934</td><td>0.388547</td><td>0.289663</td><td>0.04373</td><td>0.280049</td><td>0.304425</td><td>0.385111</td><td>0.332065</td><td>0.269251</td><td>0.464891</td><td>0.211934</td><td>0.388547</td></tr><tr><td>7424</td><td>1967-07-13 15:01:00</td><td>&quot;7424-1967-07-13 15:01:00.00000…</td><td>0.153907</td><td>0.092941</td><td>0.170056</td><td>0.107834</td><td>0.389756</td><td>0.282299</td><td>0.063583</td><td>0.682222</td><td>0.475452</td><td>0.0</td><td>0.153907</td><td>0.092941</td><td>0.170056</td><td>0.107834</td><td>0.389756</td><td>0.282299</td><td>0.063583</td><td>0.682222</td><td>0.475452</td><td>0.0</td></tr></tbody></table></div>"
                         ],
                         "text/plain": [
                             "shape: (5, 23)\n",
                             "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
-                            "│ entity_id ┆ timestamp ┆ pred_time ┆ pred_tfid ┆ … ┆ pred_tfid ┆ pred_tfid ┆ pred_tfid ┆ pred_tfi │\n",
-                            "│ ---       ┆ ---       ┆ _uuid     ┆ f_and_wit ┆   ┆ f_that_wi ┆ f_the_wit ┆ f_to_with ┆ df_was_w │\n",
-                            "│ i64       ┆ datetime[ ┆ ---       ┆ hin_0_to_ ┆   ┆ thin_0_to ┆ hin_0_to_ ┆ in_0_to_7 ┆ ithin_0_ │\n",
-                            "│           ┆ μs]       ┆ str       ┆ 365_d…    ┆   ┆ _730_…    ┆ 730_d…    ┆ 30_da…    ┆ to_730_d │\n",
-                            "│           ┆           ┆           ┆ ---       ┆   ┆ ---       ┆ ---       ┆ ---       ┆ …        │\n",
-                            "│           ┆           ┆           ┆ f64       ┆   ┆ f64       ┆ f64       ┆ f64       ┆ ---      │\n",
-                            "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆ f64      │\n",
+                            "│ entity_id ┆ timestamp ┆ predictio ┆ pred_tfid ┆ … ┆ pred_tfid ┆ pred_tfid ┆ pred_tfid ┆ pred_tfi │\n",
+                            "│ ---       ┆ ---       ┆ n_time_uu ┆ f_and_wit ┆   ┆ f_that_wi ┆ f_the_wit ┆ f_to_with ┆ df_was_w │\n",
+                            "│ i64       ┆ datetime[ ┆ id        ┆ hin_0_to_ ┆   ┆ thin_0_to ┆ hin_0_to_ ┆ in_0_to_7 ┆ ithin_0_ │\n",
+                            "│           ┆ μs]       ┆ ---       ┆ 365…      ┆   ┆ _73…      ┆ 730…      ┆ 30_…      ┆ to_730…  │\n",
+                            "│           ┆           ┆ str       ┆ ---       ┆   ┆ ---       ┆ ---       ┆ ---       ┆ ---      │\n",
+                            "│           ┆           ┆           ┆ f64       ┆   ┆ f64       ┆ f64       ┆ f64       ┆ f64      │\n",
                             "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪══════════╡\n",
-                            "│ 1660      ┆ 1968-08-0 ┆ 1660-1968 ┆ 0.093117  ┆ … ┆ 0.173111  ┆ 0.55509   ┆ 0.227099  ┆ 0.16654  │\n",
-                            "│           ┆ 4         ┆ -08-04    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│           ┆ 02:05:00  ┆ 02:05:00. ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│           ┆           ┆ 000000    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│ 5570      ┆ 1966-07-1 ┆ 5570-1966 ┆ 0.611529  ┆ … ┆ 0.378958  ┆ 0.280419  ┆ 0.298286  ┆ 0.364574 │\n",
-                            "│           ┆ 2         ┆ -07-12    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│           ┆ 10:54:00  ┆ 10:54:00. ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│           ┆           ┆ 000000    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│ 7337      ┆ 1966-06-2 ┆ 7337-1966 ┆ 0.231068  ┆ … ┆ 0.071595  ┆ 0.847656  ┆ 0.225416  ┆ 0.137755 │\n",
-                            "│           ┆ 8         ┆ -06-28    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│           ┆ 10:34:00  ┆ 10:34:00. ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│           ┆           ┆ 000000    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│ 4234      ┆ 1969-08-0 ┆ 4234-1969 ┆ 0.493461  ┆ … ┆ 0.183475  ┆ 0.588324  ┆ 0.433253  ┆ 0.235349 │\n",
-                            "│           ┆ 9         ┆ -08-09    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│           ┆ 12:46:00  ┆ 12:46:00. ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│           ┆           ┆ 000000    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│ 5799      ┆ 1966-12-1 ┆ 5799-1966 ┆ 0.192367  ┆ … ┆ 0.238416  ┆ 0.646879  ┆ 0.250217  ┆ 0.382277 │\n",
-                            "│           ┆ 5         ┆ -12-15    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│           ┆ 08:15:00  ┆ 08:15:00. ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-                            "│           ┆           ┆ 000000    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│ 6840      ┆ 1965-11-0 ┆ 6840-1965 ┆ 0.155821  ┆ … ┆ 0.096561  ┆ 0.28581   ┆ 0.45603   ┆ 0.092896 │\n",
+                            "│           ┆ 2         ┆ -11-02    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│           ┆ 07:17:00  ┆ 07:17:00. ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│           ┆           ┆ 00000…    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│ 2039      ┆ 1966-04-2 ┆ 2039-1966 ┆ 0.108015  ┆ … ┆ 0.133872  ┆ 0.693431  ┆ 0.210747  ┆ 0.257581 │\n",
+                            "│           ┆ 0         ┆ -04-20    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│           ┆ 05:06:00  ┆ 05:06:00. ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│           ┆           ┆ 00000…    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│ 9496      ┆ 1966-12-0 ┆ 9496-1966 ┆ 0.279955  ┆ … ┆ 0.0       ┆ 0.513498  ┆ 0.546216  ┆ 0.3338   │\n",
+                            "│           ┆ 6         ┆ -12-06    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│           ┆ 06:44:00  ┆ 06:44:00. ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│           ┆           ┆ 00000…    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│ 7281      ┆ 1967-06-0 ┆ 7281-1967 ┆ 0.289663  ┆ … ┆ 0.269251  ┆ 0.464891  ┆ 0.211934  ┆ 0.388547 │\n",
+                            "│           ┆ 5         ┆ -06-05    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│           ┆ 00:41:00  ┆ 00:41:00. ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│           ┆           ┆ 00000…    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│ 7424      ┆ 1967-07-1 ┆ 7424-1967 ┆ 0.153907  ┆ … ┆ 0.063583  ┆ 0.682222  ┆ 0.475452  ┆ 0.0      │\n",
+                            "│           ┆ 3         ┆ -07-13    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│           ┆ 15:01:00  ┆ 15:01:00. ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+                            "│           ┆           ┆ 00000…    ┆           ┆   ┆           ┆           ┆           ┆          │\n",
                             "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘"
                         ]
                     },
-                    "execution_count": 29,
+                    "execution_count": 16,
                     "metadata": {},
                     "output_type": "execute_result"
                 }

From bd7c0fcd8458ffa022e47d303375ba7af5dd4224 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 08:20:54 +0200
Subject: [PATCH 23/38] update settings.json, test_specs.py and timedelta.py

---
 .vscode/settings.json                       |  1 +
 src/timeseriesflattener/specs/test_specs.py | 57 +++++++++++++++++++--
 src/timeseriesflattener/specs/timedelta.py  |  4 +-
 3 files changed, 56 insertions(+), 6 deletions(-)

diff --git a/.vscode/settings.json b/.vscode/settings.json
index 6ae01a5a..2d8e9055 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -6,4 +6,5 @@
     "python.testing.pytestEnabled": true,
     "python.analysis.typeCheckingMode": "standard",
     "python.analysis.diagnosticMode": "workspace",
+    "restructuredtext.pythonRecommendation.disabled": true,
 }
\ No newline at end of file
diff --git a/src/timeseriesflattener/specs/test_specs.py b/src/timeseriesflattener/specs/test_specs.py
index 4ef58eb5..790f4f43 100644
--- a/src/timeseriesflattener/specs/test_specs.py
+++ b/src/timeseriesflattener/specs/test_specs.py
@@ -8,14 +8,14 @@
 from timeseriesflattener.aggregators import MeanAggregator
 
 from .value import ValueFrame
-from .outcome import OutcomeSpec
+from .outcome import BooleanOutcomeSpec, OutcomeSpec
 from .temporal import PredictorSpec
 from .timedelta import TimeDeltaSpec
 from .timestamp import TimestampValueFrame
+from .static import StaticSpec
 
-MockValueFrame = ValueFrame(
-    init_df=pl.DataFrame({"value": [1], "timestamp": ["2021-01-01"], "entity_id": [1]})
-)
+MockDF = pl.DataFrame({"value": [1], "timestamp": ["2021-01-01"], "entity_id": [1]})
+MockValueFrame = ValueFrame(init_df=MockDF)
 
 
 def test_predictor_spec_post_init():
@@ -60,3 +60,52 @@ def test_timedelta_spec_error_if_non_unique_ids():
             fallback=0,
             output_name="timedelta",
         )
+
+
+def test_predictor_from_primitives():
+    predictor_spec = PredictorSpec.from_primitives(
+        df=MockDF,
+        entity_id_col_name="entity_id",
+        value_timestamp_col_name="timestamp",
+        lookbehind_days=[10],
+        aggregators=["mean"],
+        fallback=0,
+    )
+
+    assert predictor_spec.normalised_lookperiod[0].first == dt.timedelta(days=-10)
+    assert predictor_spec.normalised_lookperiod[0].last == dt.timedelta(days=0)
+
+
+def test_static_spec_from_primitives():
+    static_spec = StaticSpec.from_primitives(
+        df=MockDF, entity_id_col_name="entity_id", column_prefix="static", fallback=0
+    )
+
+    assert static_spec.value_frame.df.shape == MockDF.shape
+    assert static_spec.value_frame.df.columns == MockDF.columns
+
+
+def test_boolean_outcome_spec_correct_dates():
+    boolean_outcome_spec = BooleanOutcomeSpec.from_primitives(
+        df=MockDF,
+        entity_id_col_name="entity_id",
+        lookahead_days=[10],
+        aggregators=["mean"],
+        column_prefix="boolean_outcome",
+    )
+
+    assert boolean_outcome_spec.normalised_lookperiod[0].first == dt.timedelta(days=0)
+    assert boolean_outcome_spec.normalised_lookperiod[0].last == dt.timedelta(days=10)
+
+
+def test_boolean_outcome_spec_from_primitives():
+    boolean_outcome_spec = BooleanOutcomeSpec.from_primitives(
+        df=MockDF,
+        entity_id_col_name="entity_id",
+        lookahead_days=[10],
+        aggregators=["mean"],
+        column_prefix="boolean_outcome",
+    )
+
+    assert boolean_outcome_spec.normalised_lookperiod[0].first == dt.timedelta(days=0)
+    assert boolean_outcome_spec.normalised_lookperiod[0].last == dt.timedelta(days=10)
diff --git a/src/timeseriesflattener/specs/timedelta.py b/src/timeseriesflattener/specs/timedelta.py
index 427ddd55..ea0ad5d4 100644
--- a/src/timeseriesflattener/specs/timedelta.py
+++ b/src/timeseriesflattener/specs/timedelta.py
@@ -20,8 +20,8 @@ class TimeDeltaSpec:
     output_name: str
     column_prefix: str = "pred"
     time_format: Literal["seconds", "minutes", "hours", "days", "years"] = "days"
-    """Specification for a time delta feature, i.e. the time between a prediction timestamp and a value timestamp.
-    Useful for e.g. calculating age or the time since a certain event.
+    """Specification for a time delta featre for an entity, i.e. the time between a prediction timestamp and a birthdate.
+    Useful for e.g. calculating age or the time since a certain event. Joins on the entity_id column.
 
     init_frame must contain columns:
         entity_id_col_name: The name of the column containing the entity ids. Must be a string, and the column's values must be strings which are unique.

From b8f23641025a9b5bc15772a2e03a1c1c6f5e496c Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 08:31:22 +0200
Subject: [PATCH 24/38] update 5 files

---
 .github/actions/test/action.yml           | 22 +++++++-------
 .github/actions/test_tutorials/action.yml |  2 +-
 .github/workflows/documentation.yml       | 12 ++++++--
 Dockerfile                                |  2 +-
 Makefile                                  | 35 ++++++++++++++++++-----
 5 files changed, 50 insertions(+), 23 deletions(-)

diff --git a/.github/actions/test/action.yml b/.github/actions/test/action.yml
index 74a13b7e..7884fe77 100644
--- a/.github/actions/test/action.yml
+++ b/.github/actions/test/action.yml
@@ -11,19 +11,17 @@ runs:
     - name: Checkout (GitHub)
       uses: actions/checkout@v4
 
-    - name: Replace python version in Dockerfile
+    - name: Set up uv
       shell: bash
-      run: |
-        sed -i '/python:.*/c\FROM python:${{ inputs.python-version }}' Dockerfile
+      # Install a specific uv version using the installer
+      run: curl -LsSf https://astral.sh/uv/0.4.0/install.sh | sh
 
-    - name: Create github hosts file
+    - name: Set up Python
       shell: bash
-      run: | # If this file is not created, the dev container fails because of non-existent mount
-        mkdir -p ~/.config/gh
-        touch ~/.config/gh/hosts.yml
+      run: uv python install
 
-    - name: Pre-build dev container image
-      uses: devcontainers/ci@v0.3
-      with:
-        runCmd: |
-          make test
\ No newline at end of file
+    # Installing
+    - name: Install dependencies
+      shell: bash
+      run: |
+        make test
\ No newline at end of file
diff --git a/.github/actions/test_tutorials/action.yml b/.github/actions/test_tutorials/action.yml
index c18b0f59..1247c434 100644
--- a/.github/actions/test_tutorials/action.yml
+++ b/.github/actions/test_tutorials/action.yml
@@ -21,7 +21,7 @@ runs:
     - name: Install dependencies
       shell: bash
       run: |
-        make install
+        make install-tutorials
 
     ### Run tests
     - name: Compile notebooks and check for errors
diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml
index e3c03b76..26b9d6d1 100644
--- a/.github/workflows/documentation.yml
+++ b/.github/workflows/documentation.yml
@@ -16,11 +16,19 @@ jobs:
           fetch-depth: 0 # otherwise, you will failed to push refs to dest repo
           token: ${{ secrets.PAT }}
 
+      - name: Set up uv
+        shell: bash
+        # Install a specific uv version using the installer
+        run: curl -LsSf https://astral.sh/uv/0.4.0/install.sh | sh
+
+      - name: Set up Python
+        shell: bash
+        run: uv python install
+
       - name: Install dependencies
         shell: bash
         run: |
-          python -m pip install --upgrade pip
-          pip install -e ".[docs,tutorials,text]"
+          make install
 
       - name: Build and Commit
         uses: sphinx-notes/pages@2.1
diff --git a/Dockerfile b/Dockerfile
index d115ee2a..b95c1017 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -27,4 +27,4 @@ VOLUME psycop-common
 
 COPY . /app
 RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --all-extras
\ No newline at end of file
+    uv sync
\ No newline at end of file
diff --git a/Makefile b/Makefile
index e0f1fa03..d788aeb8 100644
--- a/Makefile
+++ b/Makefile
@@ -1,17 +1,38 @@
+# Install environments
+install:
+	uv sync --all-extras
+
+install-tests:
+	uv sync --no-dev --extra test
+
+install-tutorials:
+	uv sync --no-dev --extra tutorials
+
+install-docs:
+	uv sync --no-dev --extra docs --extra tutorials
+
+# Tests
 test-tutorials:
+	make install-tutorials
 	find docs/tutorials -name '*.ipynb' | grep -v 'nbconvert' | xargs uv run jupyter nbconvert --to notebook --execute
 
+test:
+	make install-tests
+	uv run pytest src -n auto -rfE --failed-first --benchmark-disable
+
+qtest:
+	uv run pytest src -n auto -rfE --failed-first --benchmark-disable --testmon
+
+# Lint and types
 types:
+	make install
 	uv run pyright src
 
-install:
-	uv sync --all-extras
-
 lint:
+	make install
 	uv run pre-commit run --all-files
 
-test:
-	uv run pytest src -n auto -rfE --failed-first --benchmark-disable
+docs:
+	make install-docs
+	uv run sphinx-build docs docs/_build
 
-qtest:
-	uv run pytest src -n auto -rfE --failed-first --benchmark-disable --testmon
\ No newline at end of file

From c76ed25de7762609711d5e4f5be5645c34df32cf Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 08:37:54 +0200
Subject: [PATCH 25/38] ci: update documentation.yml

---
 .github/workflows/documentation.yml | 12 ++----------
 1 file changed, 2 insertions(+), 10 deletions(-)

diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml
index 26b9d6d1..96b16c90 100644
--- a/.github/workflows/documentation.yml
+++ b/.github/workflows/documentation.yml
@@ -16,19 +16,11 @@ jobs:
           fetch-depth: 0 # otherwise, you will failed to push refs to dest repo
           token: ${{ secrets.PAT }}
 
-      - name: Set up uv
-        shell: bash
-        # Install a specific uv version using the installer
-        run: curl -LsSf https://astral.sh/uv/0.4.0/install.sh | sh
-
-      - name: Set up Python
-        shell: bash
-        run: uv python install
-
       - name: Install dependencies
         shell: bash
         run: |
-          make install
+          python -m pip install --upgrade pip
+          pip install -e ".[docs,tutorials]"
 
       - name: Build and Commit
         uses: sphinx-notes/pages@2.1

From 76c285890af1fa1ad7975c347cf253171d538b7d Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 08:40:10 +0200
Subject: [PATCH 26/38] chore: update action.yml

---
 .github/actions/test/action.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/actions/test/action.yml b/.github/actions/test/action.yml
index 7884fe77..2f1fa5e2 100644
--- a/.github/actions/test/action.yml
+++ b/.github/actions/test/action.yml
@@ -18,7 +18,7 @@ runs:
 
     - name: Set up Python
       shell: bash
-      run: uv python install
+      run: uv python install ${{ inputs.python-version }}
 
     # Installing
     - name: Install dependencies

From d39a00d5f79561f8325eddba2d79517e026e074d Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 08:40:54 +0200
Subject: [PATCH 27/38] update action.yml and static_type_checks.yml

---
 .github/workflows/static_type_checks.yml | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/.github/workflows/static_type_checks.yml b/.github/workflows/static_type_checks.yml
index 46a3d774..396e5a21 100644
--- a/.github/workflows/static_type_checks.yml
+++ b/.github/workflows/static_type_checks.yml
@@ -16,15 +16,15 @@ jobs:
     steps:
       - name: Checkout (GitHub)
         uses: actions/checkout@v4
+      
+      - name: Set up uv
+        shell: bash
+        run: curl -LsSf https://astral.sh/uv/0.4.0/install.sh | sh
 
-      - name: Create github hosts file
-        run:
-          | # If this file is not created, the dev container fails because of non-existent mount
-          mkdir -p ~/.config/gh
-          touch ~/.config/gh/hosts.yml
+      - name: Set up Python
+        shell: bash
+        run: uv python install
 
-      - name: Pre-build dev container image
-        uses: devcontainers/ci@v0.3
-        with:
-          runCmd: |
-            make types
+      - name: Run static type checks
+        shell: bash
+        run: make types

From 415bf4039be218db265be1258177090f4e937521 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 08:41:17 +0200
Subject: [PATCH 28/38] ci: update benchmark.yml

---
 .github/workflows/benchmark.yml | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
index 7e389003..231582d6 100644
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -18,8 +18,16 @@ jobs:
         with:
           python-version: "3.9"
 
+      - name: Set up uv
+        shell: bash
+        run: curl -LsSf https://astral.sh/uv/0.4.0/install.sh | sh
+
+      - name: Set up Python
+        shell: bash
+        run: uv python install
+
       - name: Install dependencies
-        run: pip install .[test]
+        run: make install
 
       - name: Run benchmarks
         uses: CodSpeedHQ/action@v2

From 3e3eca0e009099be2d60f0fd5ba2aeba1ceae231 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 08:43:25 +0200
Subject: [PATCH 29/38] ci: update benchmark.yml

---
 .github/workflows/benchmark.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
index 231582d6..e2f114f3 100644
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -33,4 +33,4 @@ jobs:
         uses: CodSpeedHQ/action@v2
         with:
           token: ${{ secrets.CODSPEED_TOKEN }}
-          run: pytest . --codspeed
\ No newline at end of file
+          run: uv run pytest src --codspeed
\ No newline at end of file

From 1cc4e535bc100f4b3a21f11ac2af1bd2f283c8ed Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 08:44:05 +0200
Subject: [PATCH 30/38] update benchmark.yml and Makefile

---
 .github/workflows/benchmark.yml | 5 +----
 Makefile                        | 4 ++++
 2 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
index e2f114f3..22aa8f99 100644
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -26,11 +26,8 @@ jobs:
         shell: bash
         run: uv python install
 
-      - name: Install dependencies
-        run: make install
-
       - name: Run benchmarks
         uses: CodSpeedHQ/action@v2
         with:
           token: ${{ secrets.CODSPEED_TOKEN }}
-          run: uv run pytest src --codspeed
\ No newline at end of file
+          run: make benchmark
\ No newline at end of file
diff --git a/Makefile b/Makefile
index d788aeb8..02c8c3f5 100644
--- a/Makefile
+++ b/Makefile
@@ -20,6 +20,10 @@ test:
 	make install-tests
 	uv run pytest src -n auto -rfE --failed-first --benchmark-disable
 
+benchmark:
+	make install
+	uv run pytest src --codspeed
+
 qtest:
 	uv run pytest src -n auto -rfE --failed-first --benchmark-disable --testmon
 

From c7fd6ae5d041e7891560248081eb8d03ffd6b909 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 08:50:54 +0200
Subject: [PATCH 31/38] build: update Makefile

---
 Makefile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Makefile b/Makefile
index 02c8c3f5..e21d8027 100644
--- a/Makefile
+++ b/Makefile
@@ -14,7 +14,7 @@ install-docs:
 # Tests
 test-tutorials:
 	make install-tutorials
-	find docs/tutorials -name '*.ipynb' | grep -v 'nbconvert' | xargs uv run jupyter nbconvert --to notebook --execute
+	find docs/tutorials -name '*.ipynb' | grep -v 'nbconvert' | xargs -P 4 -I {} uv run jupyter nbconvert {} --to notebook --execute
 
 test:
 	make install-tests

From c2ad6a8560365bbb95968405a7a4fab6de652fae Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 08:54:35 +0200
Subject: [PATCH 32/38] ci: update benchmark.yml

---
 .github/workflows/benchmark.yml | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
index 22aa8f99..351b016c 100644
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -14,9 +14,6 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
-      - uses: actions/setup-python@v3
-        with:
-          python-version: "3.9"
 
       - name: Set up uv
         shell: bash

From 91fe6b6f1150c87e4c11b9605575575a3c4606ca Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 08:55:02 +0200
Subject: [PATCH 33/38] ci: update benchmark.yml

---
 .github/workflows/benchmark.yml | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
index 351b016c..4dd0a0f0 100644
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -14,14 +14,12 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
+      - uses: actions/setup-python@v3
+        with:
+          python-version: "3.9"
 
-      - name: Set up uv
-        shell: bash
-        run: curl -LsSf https://astral.sh/uv/0.4.0/install.sh | sh
-
-      - name: Set up Python
-        shell: bash
-        run: uv python install
+      - name: Install dependencies
+        run: pip install .[test]
 
       - name: Run benchmarks
         uses: CodSpeedHQ/action@v2

From 34f29f9f4f6292d0d19e9c6bcb3c8c0e6b737d0a Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 08:56:30 +0200
Subject: [PATCH 34/38] ci: update benchmark.yml

---
 .github/workflows/benchmark.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
index 4dd0a0f0..7e389003 100644
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -25,4 +25,4 @@ jobs:
         uses: CodSpeedHQ/action@v2
         with:
           token: ${{ secrets.CODSPEED_TOKEN }}
-          run: make benchmark
\ No newline at end of file
+          run: pytest . --codspeed
\ No newline at end of file

From 453a578ad939c222d0fe0c40be9ff7513584c759 Mon Sep 17 00:00:00 2001
From: Martin Bernstorff <martinbernstorff@gmail.com>
Date: Mon, 2 Sep 2024 09:04:28 +0200
Subject: [PATCH 35/38] build: update Makefile

---
 Makefile | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/Makefile b/Makefile
index e21d8027..87ce3a44 100644
--- a/Makefile
+++ b/Makefile
@@ -1,24 +1,26 @@
 # Install environments
 install:
-	uv sync --all-extras
+	uv sync --all-extras -q
 
 install-tests:
-	uv sync --no-dev --extra test
+	uv sync --no-dev --extra test -q
 
 install-tutorials:
-	uv sync --no-dev --extra tutorials
+	uv sync --no-dev --extra tutorials -q
 
 install-docs:
-	uv sync --no-dev --extra docs --extra tutorials
+	uv sync --no-dev --extra docs --extra tutorials -q
 
 # Tests
 test-tutorials:
 	make install-tutorials
 	find docs/tutorials -name '*.ipynb' | grep -v 'nbconvert' | xargs -P 4 -I {} uv run jupyter nbconvert {} --to notebook --execute
+	make install
 
 test:
 	make install-tests
 	uv run pytest src -n auto -rfE --failed-first --benchmark-disable
+	make install
 
 benchmark:
 	make install
@@ -39,4 +41,5 @@ lint:
 docs:
 	make install-docs
 	uv run sphinx-build docs docs/_build
+	make install
 

From 57e50d88883433ca7f052c82014f480a3af7a41a Mon Sep 17 00:00:00 2001
From: Lasse <lasseh0310@gmail.com>
Date: Mon, 2 Sep 2024 13:32:16 +0200
Subject: [PATCH 36/38] tutorials: add `to_primitives` examples for all specs

---
 docs/tutorials/01_basic.ipynb | 16 ++++++++++++++++
 docs/tutorials/03_text.ipynb  | 11 +++++++++++
 2 files changed, 27 insertions(+)

diff --git a/docs/tutorials/01_basic.ipynb b/docs/tutorials/01_basic.ipynb
index 07edf973..c7a602b5 100644
--- a/docs/tutorials/01_basic.ipynb
+++ b/docs/tutorials/01_basic.ipynb
@@ -716,6 +716,17 @@
             "metadata": {},
             "outputs": [],
             "source": [
+                "temporal_interval_predictor_spec = PredictorSpec.from_primitives(\n",
+                "    df=df_synth_predictors.rename({\"value\": \"value_2\"}),\n",
+                "    entity_id_col_name=\"entity_id\",\n",
+                "    value_timestamp_col_name=\"timestamp\",\n",
+                "    aggregators=[\"mean\"],\n",
+                "    column_prefix=\"pred\",\n",
+                "    fallback=np.nan,\n",
+                "    lookbehind_days=[(10, 365)],\n",
+                ")\n",
+                "\n",
+                "# Alternatively, if you prefer types\n",
                 "temporal_interval_predictor_spec = PredictorSpec(\n",
                 "    value_frame=ValueFrame(\n",
                 "        entity_id_col_name=\"entity_id\",\n",
@@ -786,6 +797,11 @@
             "source": [
                 "from timeseriesflattener import StaticFrame\n",
                 "\n",
+                "sex_predictor_spec = StaticSpec.from_primitives(\n",
+                "    df=df_synth_sex, entity_id_col_name=\"entity_id\", column_prefix=\"pred\", fallback=np.nan\n",
+                ")\n",
+                "\n",
+                "# Alternatively, if you prefer types\n",
                 "sex_predictor_spec = StaticSpec(\n",
                 "    value_frame=StaticFrame(init_df=df_synth_sex), column_prefix=\"pred\", fallback=np.nan\n",
                 ")\n",
diff --git a/docs/tutorials/03_text.ipynb b/docs/tutorials/03_text.ipynb
index 64cb46b9..ce4c55df 100644
--- a/docs/tutorials/03_text.ipynb
+++ b/docs/tutorials/03_text.ipynb
@@ -179,6 +179,17 @@
                 "from timeseriesflattener import PredictorSpec, ValueFrame\n",
                 "from timeseriesflattener.aggregators import MeanAggregator\n",
                 "\n",
+                "text_spec = PredictorSpec.from_primitives(\n",
+                "    df=embedded_text_with_metadata,\n",
+                "    entity_id_col_name=\"entity_id\",\n",
+                "    value_timestamp_col_name=\"timestamp\",\n",
+                "    lookbehind_days=[365, 730],\n",
+                "    aggregators=[\"mean\"],\n",
+                "    column_prefix=\"pred_tfidf\",\n",
+                "    fallback=np.nan,\n",
+                ")\n",
+                "\n",
+                "# Alternatively, if you prefer types\n",
                 "text_spec = PredictorSpec(\n",
                 "    ValueFrame(\n",
                 "        init_df=embedded_text_with_metadata,\n",

From 0c7413fa42180735528b861836d696b4b4d4b8cd Mon Sep 17 00:00:00 2001
From: Lasse <lasseh0310@gmail.com>
Date: Mon, 2 Sep 2024 13:33:11 +0200
Subject: [PATCH 37/38] chore: rename function

---
 src/timeseriesflattener/specs/__init__.py |  3 ++-
 src/timeseriesflattener/specs/outcome.py  | 12 ++++++------
 src/timeseriesflattener/specs/temporal.py |  8 ++++----
 3 files changed, 12 insertions(+), 11 deletions(-)

diff --git a/src/timeseriesflattener/specs/__init__.py b/src/timeseriesflattener/specs/__init__.py
index 1d19fe15..e5430234 100644
--- a/src/timeseriesflattener/specs/__init__.py
+++ b/src/timeseriesflattener/specs/__init__.py
@@ -1,8 +1,9 @@
 from __future__ import annotations
+
 import datetime as dt
 
 
-def _lookdistance_to_timedelta(
+def _lookdistance_to_timedelta_days(
     lookdistance: float | tuple[float, float],
 ) -> tuple[dt.timedelta, dt.timedelta]:
     if isinstance(lookdistance, tuple):
diff --git a/src/timeseriesflattener/specs/outcome.py b/src/timeseriesflattener/specs/outcome.py
index 11ae545e..066df33e 100644
--- a/src/timeseriesflattener/specs/outcome.py
+++ b/src/timeseriesflattener/specs/outcome.py
@@ -6,17 +6,17 @@
 
 import pandas as pd
 import polars as pl
-from timeseriesflattener.specs import _lookdistance_to_timedelta
 
-from ..validators import validate_col_name_columns_exist
-from .value import ValueFrame, lookdistance_to_normalised_lookperiod
+from timeseriesflattener.specs import _lookdistance_to_timedelta_days
+
 from ..aggregators import (
     AggregatorName,
     strings_to_aggregators,
     validate_compatible_fallback_type_for_aggregator,
 )
-
+from ..validators import validate_col_name_columns_exist
 from .timestamp import TimestampValueFrame
+from .value import ValueFrame, lookdistance_to_normalised_lookperiod
 
 if TYPE_CHECKING:
     from collections.abc import Sequence
@@ -61,7 +61,7 @@ def from_primitives(
         column_prefix: str = "outc",
     ) -> OutcomeSpec:
         """Create an OutcomeSpec from primitives."""
-        lookahead_distances = [_lookdistance_to_timedelta(d) for d in lookahead_days]
+        lookahead_distances = [_lookdistance_to_timedelta_days(d) for d in lookahead_days]
 
         return OutcomeSpec(
             value_frame=ValueFrame(
@@ -123,7 +123,7 @@ def from_primitives(
         column_prefix: str = "outc",
     ) -> BooleanOutcomeSpec:
         """Create an OutcomeSpec from primitives."""
-        lookahead_distances = [_lookdistance_to_timedelta(d) for d in lookahead_days]
+        lookahead_distances = [_lookdistance_to_timedelta_days(d) for d in lookahead_days]
 
         return BooleanOutcomeSpec(
             init_frame=TimestampValueFrame(
diff --git a/src/timeseriesflattener/specs/temporal.py b/src/timeseriesflattener/specs/temporal.py
index be45a0fa..3713688b 100644
--- a/src/timeseriesflattener/specs/temporal.py
+++ b/src/timeseriesflattener/specs/temporal.py
@@ -4,15 +4,15 @@
 from dataclasses import InitVar, dataclass
 from typing import TYPE_CHECKING
 
-from timeseriesflattener.specs import _lookdistance_to_timedelta
+from timeseriesflattener.specs import _lookdistance_to_timedelta_days
 
-from ..validators import validate_col_name_columns_exist
-from .value import ValueFrame, lookdistance_to_normalised_lookperiod
 from ..aggregators import (
     AggregatorName,
     strings_to_aggregators,
     validate_compatible_fallback_type_for_aggregator,
 )
+from ..validators import validate_col_name_columns_exist
+from .value import ValueFrame, lookdistance_to_normalised_lookperiod
 
 if TYPE_CHECKING:
     from collections.abc import Sequence
@@ -66,7 +66,7 @@ def from_primitives(
         fallback: int | float | str | None = 0,
     ) -> PredictorSpec:
         """Create a PredictorSpec from primitives."""
-        lookbehind_distances = [_lookdistance_to_timedelta(d) for d in lookbehind_days]
+        lookbehind_distances = [_lookdistance_to_timedelta_days(d) for d in lookbehind_days]
 
         return PredictorSpec(
             value_frame=ValueFrame(

From 95608f356e63f506eab941fe6cdf7c984bb24fcc Mon Sep 17 00:00:00 2001
From: Lasse Hansen <lasseh0310@gmail.com>
Date: Mon, 2 Sep 2024 13:33:30 +0200
Subject: [PATCH 38/38] Update src/timeseriesflattener/specs/timedelta.py

---
 src/timeseriesflattener/specs/timedelta.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/timeseriesflattener/specs/timedelta.py b/src/timeseriesflattener/specs/timedelta.py
index ea0ad5d4..fd0fb9ea 100644
--- a/src/timeseriesflattener/specs/timedelta.py
+++ b/src/timeseriesflattener/specs/timedelta.py
@@ -20,7 +20,7 @@ class TimeDeltaSpec:
     output_name: str
     column_prefix: str = "pred"
     time_format: Literal["seconds", "minutes", "hours", "days", "years"] = "days"
-    """Specification for a time delta featre for an entity, i.e. the time between a prediction timestamp and a birthdate.
+    """Specification for a time delta feature for an entity, i.e. the time between a prediction timestamp and a value timestamp (e.g. a birthdate).
     Useful for e.g. calculating age or the time since a certain event. Joins on the entity_id column.
 
     init_frame must contain columns: