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fix sklearn warning #2442

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merged 2 commits into from
Apr 10, 2023
Merged

fix sklearn warning #2442

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0f42980
fix sklearn warning
Apr 10, 2023
26ae588
lint
Apr 10, 2023
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6 changes: 5 additions & 1 deletion deepchecks/tabular/metric_utils/scorers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,8 @@

import numpy as np
import pandas as pd
from packaging import version
from sklearn import __version__ as scikit_version
from sklearn.base import ClassifierMixin
from sklearn.metrics import get_scorer, log_loss, make_scorer, mean_absolute_error, mean_squared_error
from sklearn.metrics._scorer import _BaseScorer, _ProbaScorer
Expand Down Expand Up @@ -442,7 +444,9 @@ def _transform_to_multi_label_format(y: np.ndarray, classes):
# Some classifiers like catboost might return shape like (n_rows, 1), therefore squeezing the array.
y = np.squeeze(y) if y.ndim > 1 else y
if y.ndim == 1:
ohe = OneHotEncoder(handle_unknown='ignore', sparse=False)
kwargs = {'sparse_output': False} if version.parse(scikit_version) >= version.parse('1.2') \
else {'sparse': False}
ohe = OneHotEncoder(handle_unknown='ignore', **kwargs) # pylint: disable=unexpected-keyword-arg
ohe.fit(np.array(classes).reshape(-1, 1))
return ohe.transform(y.reshape(-1, 1))
# If after squeeze there are still 2 dimensions, then it must have column for each model class.
Expand Down