10000 [MRG] _check_sample_weight for CalibratedClassifierCV by MDouriez · Pull Request #15491 · scikit-learn/scikit-learn · GitHub
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[MRG] _check_sample_weight for CalibratedClassifierCV #15491

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Merged
merged 1 commit into from
Nov 3, 2019
Merged

[MRG] _check_sample_weight for CalibratedClassifierCV #15491

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4 changes: 2 additions & 2 deletions sklearn/calibration.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,7 @@
from .preprocessing import label_binarize, LabelBinarizer
from .utils import check_X_y, check_array, indexable, column_or_1d
from .utils.validation import check_is_fitted, check_consistent_length
from .utils.validation import _check_sample_weight
from .isotonic import IsotonicRegression
from .svm import LinearSVC
from .model_selection import check_cv
Expand Down Expand Up @@ -176,8 +177,7 @@ def fit(self, X, y, sample_weight=None):
base_estimator_sample_weight = None
else:
if sample_weight is not None:
sample_weight = check_array(sample_weight, ensure_2d=False)
check_consistent_length(y, sample_weight)
sample_weight = _check_sample_weight(sample_weight, X)
base_estimator_sample_weight = sample_weight
for train, test in cv.split(X, y):
this_estimator = clone(base_estimator)
Expand Down
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