8000 MAINT Parameters validation for sklearn.metrics.pairwise.cosine_distances by Charlie-XIAO · Pull Request #26046 · scikit-learn/scikit-learn · GitHub
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MAINT Parameters validation for sklearn.metrics.pairwise.cosine_distances #26046

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Merged
merged 6 commits into from
Apr 3, 2023
Merged

MAINT Parameters validation for sklearn.metrics.pairwise.cosine_distances #26046

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a6fe384
MAINT Parameters validation for sklearn.metrics.pairwise.cosine_dista…
Charlie-XIAO Apr 1, 2023
10c261f
no need to check, validation done in cosine_similarity
Charlie-XIAO Apr 1, 2023
c241c6f
Merge branch 'main' into param-val-cosine_distances
jeremiedbb Apr 3, 2023
2e3a4c6
Revert "no need to check, validation done in cosine_similarity"
Charlie-XIAO Apr 3, 2023
efe1bbd
Merge branch 'param-val-cosine_distances' of https://github.com/Charl…
Charlie-XIAO Apr 3, 2023
d4a0758
Merge branch 'main' into param-val-cosine_distances
jeremiedbb Apr 3, 2023
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6 changes: 6 additions & 0 deletions sklearn/metrics/pairwise.py
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Expand Up @@ -980,6 +980,12 @@ def manhattan_distances(X, Y=None, *, sum_over_features="deprecated"):
return D.reshape((-1, X.shape[1]))


@validate_params(
{
"X": ["array-like", "sparse matrix"],
"Y": ["array-like", "sparse matrix", None],
}
)
def cosine_distances(X, Y=None):
"""Compute cosine distance between samples in X and Y.

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1 change: 1 addition & 0 deletions sklearn/tests/test_public_functions.py
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Expand Up @@ -204,6 +204,7 @@ def _check_function_param_validation(
"sklearn.metrics.mutual_info_score",
"sklearn.metrics.ndcg_score",
"sklearn.metrics.pairwise.additive_chi2_kernel",
"sklearn.metrics.pairwise.cosine_distances",
"sklearn.metrics.pairwise.cosine_similarity",
"sklearn.metrics.pairwise.haversine_distances",
"sklearn.metrics.pairwise.laplacian_kernel",
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0