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MAINT Parameters validation for sklearn.metrics.pairwise.paired_euclidean_distances #26073

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Merged
merged 1 commit into from
Apr 4, 2023
Merged

MAINT Parameters validation for sklearn.metrics.pairwise.paired_euclidean_distances #26073

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7 changes: 5 additions & 2 deletions 7 sklearn/metrics/pairwise.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1025,17 +1025,20 @@ def cosine_distances(X, Y=None):


# Paired distances
@validate_params(
{"X": ["array-like", "sparse matrix"], "Y": ["array-like", "sparse matrix"]}
)
def paired_euclidean_distances(X, Y):
"""Compute the paired euclidean distances between X and Y.

Read more in the :ref:`User Guide <metrics>`.

Parameters
----------
X : array-like of shape (n_samples, n_features)
X : {array-like, sparse matrix} of shape (n_samples, n_features)
Input array/matrix X.

Y : array-like of shape (n_samples, n_features)
Y : {array-like, sparse matrix} of shape (n_samples, n_features)
Input array/matrix Y.

Returns
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1 change: 1 addition & 0 deletions 1 sklearn/tests/test_public_functions.py
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Expand Up @@ -209,6 +209,7 @@ def _check_function_param_validation(
"sklearn.metrics.pairwise.haversine_distances",
"sklearn.metrics.pairwise.laplacian_kernel",
"sklearn.metrics.pairwise.linear_kernel",
"sklearn.metrics.pairwise.paired_euclidean_distances",
"sklearn.metrics.precision_recall_curve",
"sklearn.metrics.precision_recall_fscore_support",
"sklearn.metrics.precision_score",
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