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MAINT Parameters validation for metrics.classification_report #25868

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merged 4 commits into from Mar 16, 2023
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17 changes: 16 additions & 1 deletion sklearn/metrics/_classification.py
Original file line number Diff line number Diff line change
Expand Up @@ -2350,6 +2350,21 @@ def balanced_accuracy_score(y_true, y_pred, *, sample_weight=None, adjusted=Fals
return score


@validate_params(
{
"y_true": ["array-like", "sparse matrix"],
"y_pred": ["array-like", "sparse matrix"],
"labels": ["array-like", None],
"target_names": ["array-like", None],
"sample_weight": ["array-like", None],
"digits": [Interval(Integral, 0, None, closed="left")],
"output_dict": ["boolean"],
"zero_division": [
Options(Real, {0, 1}),
StrOptions({"warn"}),
],
}
)
def classification_report(
y_true,
y_pred,
Expand All @@ -2376,7 +2391,7 @@ def classification_report(
labels : array-like of shape (n_labels,), default=None
Optional list of label indices to include in the report.

target_names : list of str of shape (n_labels,), default=None
target_names : array-like of shape (n_labels,), default=None
Optional display names matching the labels (same order).

sample_weight : array-like of shape (n_samples,), default=None
Expand Down
1 change: 1 addition & 0 deletions sklearn/tests/test_public_functions.py
Original file line number Diff line number Diff line change
Expand Up @@ -150,6 +150,7 @@ def _check_function_param_validation(
"sklearn.metrics.balanced_accuracy_score",
"sklearn.metrics.brier_score_loss",
"sklearn.metrics.class_likelihood_ratios",
"sklearn.metrics.classification_report",
"sklearn.metrics.cluster.contingency_matrix",
"sklearn.metrics.cohen_kappa_score",
"sklearn.metrics.confusion_matrix",
Expand Down