8000 MNT Exported `WeightingStrategy` for `*_classmode` reductions (#27030) · scikit-learn/scikit-learn@392c084 · GitHub
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MNT Exported WeightingStrategy for *_classmode reductions (#27030)
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‎sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.pyx.tp

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@@ -8,13 +8,7 @@ from ...utils._typedefs cimport intp_t, float64_t
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import numpy as np
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from scipy.sparse import issparse
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from sklearn.utils.fixes import threadpool_limits
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cpdef enum WeightingStrategy:
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uniform = 0
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# TODO: Implement the following options, most likely in
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# `weighted_histogram_mode`
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distance = 1
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callable = 2
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from ._classmode cimport WeightingStrategy
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{{for name_suffix in ["32", "64"]}}
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from ._argkmin cimport ArgKmin{{name_suffix}}

‎sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd

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cpdef enum WeightingStrategy:
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uniform = 0
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# TODO: Implement the following options in weighted_histogram_mode
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distance = 1
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callable = 2

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