8000 MAINT Parameters validation for sklearn.metrics.d2_tweedie_score by A-H-Mansoury · Pull Request #25975 · scikit-learn/scikit-learn · GitHub
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MAINT Parameters validation for sklearn.metrics.d2_tweedie_score #25975

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Merged
merged 3 commits into from
Mar 27, 2023
Merged

MAINT Parameters validation for sklearn.metrics.d2_tweedie_score #25975

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MAINT Parameters validation for sklearn.metrics.d2_tweedie_score
A-H-Mansoury Mar 26, 2023
f45b5fc
Merge branch 'scikit-learn:main' into MAINT_Parameters_validation_for…
A-H-Mansoury Mar 26, 2023
364b61d
Update _regression.py
jeremiedbb Mar 27, 2023
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13 changes: 12 additions & 1 deletion sklearn/metrics/_regression.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1238,6 +1238,17 @@ def mean_gamma_deviance(y_true, y_pred, *, sample_weight=None):
return mean_tweedie_deviance(y_true, y_pred, sample_weight=sample_weight, power=2)


@validate_params(
{
"y_true": ["array-like"],
"y_pred": ["array-like"],
"sample_weight": ["array-like", None],
"power": [
Interval(Real, None, 0, closed="right"),
Interval(Real, 1, None, closed="left"),
],
}
)
def d2_tweedie_score(y_true, y_pred, *, sample_weight=None, power=0):
"""D^2 regression score function, fraction of Tweedie deviance explained.

Expand All @@ -1257,7 +1268,7 @@ def d2_tweedie_score(y_true, y_pred, *, sample_weight=None, power=0):
y_pred : array-like of shape (n_samples,)
Estimated target values.

sample_weight : array-like of shape (n_samples,), optional
sample_weight : array-like of shape (n_samples,), default=None
Sample weights.

power : float, default=0
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1 change: 1 addition & 0 deletions sklearn/tests/test_public_functions.py
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Expand Up @@ -161,6 +161,7 @@ def _check_function_param_validation(
"sklearn.metrics.confusion_matrix",
"sklearn.metrics.coverage_error",
"sklearn.metrics.d2_pinball_score",
"sklearn.metrics.d2_tweedie_score",
"sklearn.metrics.dcg_score",
"sklearn.metrics.det_curve",
"sklearn.metrics.f1_score",
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0