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Add
diagnose
method to CmdStanModel
.
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Original file line number | Diff line number | Diff line change |
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"""Container for the result of running model diagnostics.""" | ||
import io | ||
import re | ||
from typing import Dict, List, Optional | ||
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import pandas as pd | ||
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from ..cmdstan_args import Method | ||
from ..utils import scan_config | ||
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from .runset import RunSet | ||
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class CmdStanDiagnose: | ||
""" | ||
Container for outputs from CmdStan diagnostics. Created by | ||
:meth:`CmdStanModel.diagnose`. | ||
""" | ||
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def __init__(self, runset: RunSet) -> None: | ||
if not runset.method == Method.DIAGNOSE: | ||
raise ValueError( | ||
"Wrong runset method, expecting diagnose runset, found method " | ||
f"{runset.method}." | ||
) | ||
self.runset = runset | ||
self.gradients_ok = runset._check_retcodes() | ||
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# Split the csv into header and gradient table parts. | ||
with open(self.runset.csv_files[0]) as handle: | ||
text = handle.read() | ||
header, table = re.split(r"#\s+Log probability=.*", text, re.M) | ||
self.config: Dict = {} | ||
scan_config(io.StringIO(header), self.config, 0) | ||
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# Remove comment characters, leading whitespace, and empty lines. | ||
lines: List[str] = [] | ||
for line in table.splitlines(): | ||
line = re.sub(r"^#\s+", "", line) | ||
if not line: | ||
continue | ||
# If this is the first line, remove whitespace from column names. | ||
if not lines: | ||
line = ( | ||
line | ||
.replace("param idx", "param_idx") | ||
.replace("finite diff", "finite_diff") | ||
) | ||
lines.append(line) | ||
self._gradients = pd.read_csv(io.StringIO("\n".join(lines)), sep=r"\s+") | ||
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def __repr__(self) -> str: | ||
cmd = self.runset._args.method_args.compose(0, cmd=[]) | ||
lines = [ | ||
f"CmdStanDiagnose: model={self.runset.model}{cmd}", | ||
f"\tcsv_file: {self.runset.csv_files[0]}", | ||
f"\toutput_file: {self.runset.stdout_files[0]}", | ||
] | ||
if not self.gradients_ok: | ||
lines.append( | ||
"Warning: autodiff and finite difference gradients may not " | ||
"agree." | ||
) | ||
return "\n".join(lines) | ||
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@property | ||
def gradients(self) -> pd.DataFrame: | ||
""" | ||
Dataframe of parameter names, autodiff gradients, finite difference | ||
gradients and the delta between the two gradient estimates. | ||
""" | ||
return self._gradients | ||
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def save_csvfiles(self, dir: Optional[str] = None) -> None: | ||
""" | ||
Move output CSV files to specified directory. If files were | ||
written to the temporary session directory, clean filename. | ||
E.g., save 'bernoulli-201912081451-1-5nm6as7u.csv' as | ||
'bernoulli-201912081451-1.csv'. | ||
:param dir: directory path | ||
See Also | ||
-------- | ||
stanfit.RunSet.save_csvfiles | ||
cmdstanpy.from_csv | ||
""" | ||
self.runset.save_csvfiles(dir) |
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