diff --git a/poetry.lock b/poetry.lock
index 46a2eb266..f0dc942b0 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -238,80 +238,64 @@ tz = ["python-dateutil"]
 
 [[package]]
 name = "alibi"
-version = "0.9.4"
+version = "0.5.5"
 description = "Algorithms for monitoring and explaining machine learning models"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.6"
 files = [
-    {file = "alibi-0.9.4-py3-none-any.whl", hash = "sha256:85f014f3d451273209f3aea3e31dd79b7cdd2969224718c19c171dc94873e4b0"},
-    {file = "alibi-0.9.4.tar.gz", hash = "sha256:96d2dec2f2bdf6fc7ea30d35372b1f078128568db656849a26f37d69f5c89a83"},
-]
-
-[package.dependencies]
-attrs = ">=19.2.0,<24.0.0"
-blis = "<0.8.0"
-dill = ">=0.3.0,<0.4.0"
-matplotlib = ">=3.0.0,<4.0.0"
-numba = {version = ">=0.50.0,<0.54.0 || >0.54.0,<0.58.0", optional = true, markers = "extra == \"shap\""}
-numpy = ">=1.16.2,<2.0.0"
-pandas = ">=1.0.0,<3.0.0"
-Pillow = ">=5.4.1,<10.0"
-requests = ">=2.21.0,<3.0.0"
-scikit-image = ">=0.17.2,<0.22"
-scikit-learn = ">=1.0.0,<2.0.0"
-scipy = ">=1.1.0,<2.0.0"
-shap = {version = ">=0.40.0,<0.43.0", optional = true, markers = "extra == \"shap\""}
-spacy = {version = ">=2.0.0,<4.0.0", extras = ["lookups"]}
-tensorflow = {version = ">=2.0.0,<2.6.0 || >2.6.0,<2.6.1 || >2.6.1,<2.13.0", optional = true, markers = "extra == \"tensorflow\""}
-tqdm = ">=4.28.1,<5.0.0"
-transformers = ">=4.7.0,<5.0.0"
-typing-extensions = ">=3.7.4.3"
+    {file = "alibi-0.5.5-py3-none-any.whl", hash = "sha256:390539cce037dcda7f545333bd98d392dbb1f9022f01cf19a91cc603a50cd6fd"},
+    {file = "alibi-0.5.5.tar.gz", hash = "sha256:7efbae29ca93dae036569a7c7b967078ba14169dfa8b029c34be135cbfbe009d"},
+]
+
+[package.dependencies]
+attrs = "*"
+beautifulsoup4 = "*"
+matplotlib = "*"
+numpy = "*"
+pandas = "*"
+Pillow = "*"
+requests = "*"
+scikit-image = "!=0.17.1"
+scikit-learn = "*"
+scipy = "*"
+shap = ">=0.36"
+spacy = {version = "*", extras = ["lookups"]}
+tensorflow = ">=2.0"
+typing-extensions = ">=3.7.2"
 
 [package.extras]
-all = ["numba (>=0.50.0,!=0.54.0,<0.58.0)", "ray (>=0.8.7,<3.0.0)", "shap (>=0.40.0,<0.43.0)", "tensorflow (>=2.0.0,!=2.6.0,!=2.6.1,<2.13.0)", "torch (>=1.9.0,<3.0.0)"]
-ray = ["ray (>=0.8.7,<3.0.0)"]
-shap = ["numba (>=0.50.0,!=0.54.0,<0.58.0)", "shap (>=0.40.0,<0.43.0)"]
-tensorflow = ["tensorflow (>=2.0.0,!=2.6.0,!=2.6.1,<2.13.0)"]
-torch = ["torch (>=1.9.0,<2.0.0)"]
+examples = ["seaborn", "xgboost"]
+ray = ["ray"]
 
 [[package]]
 name = "alibi-detect"
-version = "0.11.4"
+version = "0.4.4"
 description = "Algorithms for outlier detection, concept drift and metrics."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.6"
 files = [
-    {file = "alibi-detect-0.11.4.tar.gz", hash = "sha256:5e81eee628260a264e5ebf27d9ab400a34f8ab53d1c0e883547c4c6f9b1aa1be"},
-    {file = "alibi_detect-0.11.4-py3-none-any.whl", hash = "sha256:d1273a160583df44eaa17d557762152f70dda0ef064963c622655f3fef8d4aa3"},
-]
-
-[package.dependencies]
-catalogue = ">=2.0.0,<3.0.0"
-dill = ">=0.3.0,<0.4.0"
-matplotlib = ">=3.0.0,<4.0.0"
-numba = ">=0.50.0,<0.54.0 || >0.54.0,<0.58.0"
-numpy = ">=1.16.2,<2.0.0"
-opencv-python = ">=3.2.0,<5.0.0"
-pandas = ">=1.0.0,<3.0.0"
-Pillow = ">=5.4.1,<10.0.0"
-pydantic = ">=1.8.0,<2.0.0"
-requests = ">=2.21.0,<3.0.0"
-scikit-image = ">=0.14.2,<0.17.1 || >0.17.1,<0.22"
-scikit-learn = ">=0.20.2,<2.0.0"
-scipy = ">=1.3.0,<2.0.0"
-tensorflow = {version = ">=2.2.0,<2.6.0 || >2.6.0,<2.6.1 || >2.6.1,<2.13.0", optional = true, markers = "extra == \"tensorflow\""}
-tensorflow-probability = {version = ">=0.8.0,<0.20.0", optional = true, markers = "extra == \"tensorflow\""}
-toml = ">=0.10.1,<1.0.0"
-tqdm = ">=4.28.1,<5.0.0"
-transformers = ">=4.0.0,<5.0.0"
-typing-extensions = ">=3.7.4.3"
+    {file = "alibi-detect-0.4.4.tar.gz", hash = "sha256:7dd1387d500fc1afd2443e1818dd8d66456bb090e9d25941c2eaaa8b8e225d04"},
+    {file = "alibi_detect-0.4.4-py3-none-any.whl", hash = "sha256:69f2b457a4f045b5e21221552c5ddae2897318a456b7b4710f9a6731db0ba7d7"},
+]
+
+[package.dependencies]
+creme = "*"
+dask = {version = "*", extras = ["array"]}
+matplotlib = "*"
+numpy = "*"
+opencv-python = "*"
+pandas = "*"
+Pillow = "*"
+scikit-image = "*"
+scikit-learn = "*"
+scipy = "*"
+tensorflow = ">=2"
+tensorflow-probability = ">=0.8"
+transformers = ">=2.10.0"
 
 [package.extras]
-all = ["prophet (>=1.1.0,<2.0.0)", "pykeops (>=2.0.0,<2.2.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1,<2.13.0)", "tensorflow-probability (>=0.8.0,<0.20.0)", "torch (>=1.7.0,<1.14.0)"]
-keops = ["pykeops (>=2.0.0,<2.2.0)", "torch (>=1.7.0,<1.14.0)"]
-prophet = ["prophet (>=1.1.0,<2.0.0)"]
-tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1,<2.13.0)", "tensorflow-probability (>=0.8.0,<0.20.0)"]
-torch = ["torch (>=1.7.0,<1.14.0)"]
+examples = ["nlp", "seaborn", "tqdm"]
+prophet = ["fbprophet (>=0.5,<0.7)", "holidays (==0.9.11)"]
 
 [[package]]
 name = "anyio"
@@ -1045,6 +1029,48 @@ mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.2.0)", "types-Pill
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
 test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
 
+[[package]]
+name = "creme"
+version = "0.6.1"
+description = "Online machine learning in Python"
+optional = false
+python-versions = ">=3.6.0"
+files = [
+    {file = "creme-0.6.1-cp36-cp36m-macosx_10_6_intel.whl", hash = "sha256:afcc9d148537c632041d028618dd1f71ac52e7c38028e93a920888f00cf66e29"},
+    {file = "creme-0.6.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:0b2f2e60fe97246fc722da66443b9edd49ec9112772c5b98d9862eb177673642"},
+    {file = "creme-0.6.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:3e5459b8f3c8bd6ed2040c57eeb7ba9892506ce29c0079f16f859f3ec5b1f955"},
+    {file = "creme-0.6.1-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:42f8a7f520312189ca252df783dcf6d712dd0c54d762f67119c7a39250d78633"},
+    {file = "creme-0.6.1-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:37da19b56c943dfbe9c70fc2f83602beeccb0de8355bd1091f22adb76dcbe804"},
+    {file = "creme-0.6.1-cp36-cp36m-win32.whl", hash = "sha256:57b0a0c9cffb5e4736a138eda4c04a943fffe8eae3912398a734ec2e2c7d8470"},
+    {file = "creme-0.6.1-cp36-cp36m-win_amd64.whl", hash = "sha256:b6bd007a59f34e8ba0518fb9f46036d694a4a9ab7f3ffdc64a51f1dc35a88ff7"},
+    {file = "creme-0.6.1-cp37-cp37m-macosx_10_6_intel.whl", hash = "sha256:53f38054939a0d581ef80f1ea07c0d184769aa44afc5335b2cc72ce92ee40f2f"},
+    {file = "creme-0.6.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:60bcc8484929526b2b5f75eded1fc26e780f886e0d04748a0e620e0890960f79"},
+    {file = "creme-0.6.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:3a665efa102b9cc79cd29623dca09168882145a2eac334412d225bf6458a3439"},
+    {file = "creme-0.6.1-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:2c0726a8a496f41657f122c7ddc3e7e1c47126b7d7e8e69c03d490a169866faa"},
+    {file = "creme-0.6.1-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:f212bc7529cf065be6937465110bd2ec76ffd7602648166a6f54be8e595eb0ac"},
+    {file = "creme-0.6.1-cp37-cp37m-win32.whl", hash = "sha256:30fdc6141305e29dd66a757603b48d0b0e6324c58f0fa9a8d97ba26c3a52af40"},
+    {file = "creme-0.6.1-cp37-cp37m-win_amd64.whl", hash = "sha256:132981223b1228da711300d162ad32e5b7d9c5bf2e31cc60653e115abdbaee29"},
+    {file = "creme-0.6.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:574fd301c6c14a8a142162d5cd4b4982795cb5d88fadd07a9e06562aba9dad99"},
+    {file = "creme-0.6.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:febe182c988973e5f9a10ab9a95e9da8fd51dc93258ec62d050f3cb9744847de"},
+    {file = "creme-0.6.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:2a6badac4564f33512ac939a2401e6dcf288422ba13fe355d73fd59936a6c62c"},
+    {file = "creme-0.6.1-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:9532a9624828a12c783e87ae043d5459e6039c8db94df49b99b6e415860f71b0"},
+    {file = "creme-0.6.1-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:0b0301fdcd7fe238c3b2fe93154fce3229b1b4b00d93eb56c12f3d248c446800"},
+    {file = "creme-0.6.1-cp38-cp38-win32.whl", hash = "sha256:ac54272fd3e8e10f17c378a51a36fa885d0f3ca2acfceb337ba4e46876533911"},
+    {file = "creme-0.6.1-cp38-cp38-win_amd64.whl", hash = "sha256:973777139abcfb4a2dfe5a2807c37f588fffa389b82a5eaab48bcd4417801210"},
+    {file = "creme-0.6.1.tar.gz", hash = "sha256:676c7bdc8d450d4ca96e3dd471c10e5125242108be9f857fd46954d0916c70bb"},
+]
+
+[package.dependencies]
+mmh3 = "2.5.1"
+numpy = ">=1.18.1"
+pandas = ">=1.0.1"
+scipy = ">=1.4.1"
+
+[package.extras]
+compat = ["mmh3 (==2.5.1)", "numpy (>=1.18.1)", "pandas (>=1.0.1)", "scikit-learn", "scikit-surprise", "scipy (>=1.4.1)", "sqlalchemy", "torch", "vaex"]
+dev = ["flake8 (>=3.7.9)", "graphviz (>=0.10.1)", "matplotlib (>=3.0.2)", "mmh3 (==2.5.1)", "mypy (>=0.761)", "numpy (>=1.18.1)", "pandas (>=1.0.1)", "pytest (>=4.5.0)", "pytest-cov (>=2.6.1)", "pytest-cython (>=0.1.0)", "scikit-learn (>=0.22.1)", "scipy (>=1.4.1)", "sqlalchemy (>=1.3.15)"]
+docs = ["flake8 (>=3.7.9)", "graphviz (>=0.10.1)", "ipykernel", "jupyter-client", "matplotlib (>=3.0.2)", "mkdocs", "mkdocs-awesome-pages-plugin", "mkdocs-material", "mmh3 (==2.5.1)", "mypy (>=0.761)", "nbconvert", "nbval", "numpy (>=1.18.1)", "pandas (>=1.0.1)", "pytest (>=4.5.0)", "pytest-cov (>=2.6.1)", "pytest-cython (>=0.1.0)", "scikit-learn (>=0.22.1)", "scipy (>=1.4.1)", "sqlalchemy (>=1.3.15)"]
+
 [[package]]
 name = "css-html-js-minify"
 version = "2.5.5"
@@ -1129,6 +1155,36 @@ files = [
     {file = "cymem-2.0.7.tar.gz", hash = "sha256:e6034badb5dd4e10344211c81f16505a55553a7164adc314c75bd80cf07e57a8"},
 ]
 
+[[package]]
+name = "dask"
+version = "2023.5.0"
+description = "Parallel PyData with Task Scheduling"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "dask-2023.5.0-py3-none-any.whl", hash = "sha256:32b34986519b7ddc0947c8ca63c2fc81b964e4c208dfb5cbf9f4f8aec92d152b"},
+    {file = "dask-2023.5.0.tar.gz", hash = "sha256:4f4c28ac406e81b8f21b5be4b31b21308808f3e0e7c7e2f4a914f16476d9941b"},
+]
+
+[package.dependencies]
+click = ">=8.0"
+cloudpickle = ">=1.5.0"
+fsspec = ">=2021.09.0"
+importlib-metadata = ">=4.13.0"
+numpy = {version = ">=1.21", optional = true, markers = "extra == \"array\""}
+packaging = ">=20.0"
+partd = ">=1.2.0"
+pyyaml = ">=5.3.1"
+toolz = ">=0.10.0"
+
+[package.extras]
+array = ["numpy (>=1.21)"]
+complete = ["dask[array,dataframe,diagnostics,distributed]", "lz4 (>=4.3.2)", "pyarrow (>=7.0)"]
+dataframe = ["numpy (>=1.21)", "pandas (>=1.3)"]
+diagnostics = ["bokeh (>=2.4.2)", "jinja2 (>=2.10.3)"]
+distributed = ["distributed (==2023.5.0)"]
+test = ["pandas[test]", "pre-commit", "pytest", "pytest-rerunfailures", "pytest-xdist"]
+
 [[package]]
 name = "databricks-cli"
 version = "0.17.7"
@@ -2963,6 +3019,17 @@ files = [
     {file = "llvmlite-0.40.1.tar.gz", hash = "sha256:5cdb0d45df602099d833d50bd9e81353a5e036242d3c003c5b294fc61d1986b4"},
 ]
 
+[[package]]
+name = "locket"
+version = "1.0.0"
+description = "File-based locks for Python on Linux and Windows"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "locket-1.0.0-py2.py3-none-any.whl", hash = "sha256:b6c819a722f7b6bd955b80781788e4a66a55628b858d347536b7e81325a3a5e3"},
+    {file = "locket-1.0.0.tar.gz", hash = "sha256:5c0d4c052a8bbbf750e056a8e65ccd309086f4f0f18a2eac306a8dfa4112a632"},
+]
+
 [[package]]
 name = "lxml"
 version = "4.9.3"
@@ -3343,8 +3410,8 @@ files = [
 [package.dependencies]
 numpy = [
     {version = ">=1.23.3", markers = "python_version > \"3.10\""},
-    {version = ">1.20", markers = "python_version <= \"3.9\""},
     {version = ">=1.21.2", markers = "python_version > \"3.9\" and python_version <= \"3.10\""},
+    {version = ">1.20", markers = "python_version <= \"3.9\""},
 ]
 
 [package.extras]
@@ -3527,6 +3594,16 @@ xgboost = {version = "*", extras = ["scikit-learn"]}
 type = "directory"
 url = "runtimes/xgboost"
 
+[[package]]
+name = "mmh3"
+version = "2.5.1"
+description = "Python wrapper for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
+optional = false
+python-versions = "*"
+files = [
+    {file = "mmh3-2.5.1.tar.gz", hash = "sha256:185209a217c52afe43e079e5b232d0ef0f3a262601eaaf4371326ab6dcbec508"},
+]
+
 [[package]]
 name = "mpmath"
 version = "1.3.0"
@@ -4201,8 +4278,8 @@ files = [
 [package.dependencies]
 numpy = [
     {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
-    {version = ">=1.21.0", markers = "python_version <= \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\" and python_version >= \"3.8\""},
     {version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
+    {version = ">=1.21.0", markers = "python_version <= \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\" and python_version >= \"3.8\""},
     {version = ">=1.17.3", markers = "(platform_system != \"Darwin\" and platform_system != \"Linux\") and python_version >= \"3.8\" and python_version < \"3.9\" or platform_system != \"Darwin\" and python_version >= \"3.8\" and python_version < \"3.9\" and platform_machine != \"aarch64\" or platform_machine != \"arm64\" and python_version >= \"3.8\" and python_version < \"3.9\" and platform_system != \"Linux\" or (platform_machine != \"arm64\" and platform_machine != \"aarch64\") and python_version >= \"3.8\" and python_version < \"3.9\""},
     {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
     {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
@@ -4612,6 +4689,24 @@ sql-other = ["SQLAlchemy (>=1.4.16)"]
 test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
 xml = ["lxml (>=4.6.3)"]
 
+[[package]]
+name = "partd"
+version = "1.4.1"
+description = "Appendable key-value storage"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "partd-1.4.1-py3-none-any.whl", hash = "sha256:27e766663d36c161e2827aa3e28541c992f0b9527d3cca047e13fb3acdb989e6"},
+    {file = "partd-1.4.1.tar.gz", hash = "sha256:56c25dd49e6fea5727e731203c466c6e092f308d8f0024e199d02f6aa2167f67"},
+]
+
+[package.dependencies]
+locket = "*"
+toolz = "*"
+
+[package.extras]
+complete = ["blosc", "numpy (>=1.9.0)", "pandas (>=0.19.0)", "pyzmq"]
+
 [[package]]
 name = "pathable"
 version = "0.4.3"
@@ -4658,77 +4753,65 @@ test = ["mock", "pytest", "pytest-coverage", "typer-cli"]
 
 [[package]]
 name = "pillow"
-version = "9.5.0"
+version = "10.0.1"
 description = "Python Imaging Library (Fork)"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "Pillow-9.5.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:ace6ca218308447b9077c14ea4ef381ba0b67ee78d64046b3f19cf4e1139ad16"},
-    {file = "Pillow-9.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d3d403753c9d5adc04d4694d35cf0391f0f3d57c8e0030aac09d7678fa8030aa"},
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 [package.extras]
@@ -7291,6 +7374,17 @@ files = [
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+description = "List processing tools and functional utilities"
+optional = false
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+
 [[package]]
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 version = "2.0.0"