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add **metrickw to KMedoids for the convinence of the metric like 'min… #144

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add **metrickw to KMedoids for the convinence of the metric like 'min… #144

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10 changes: 6 additions & 4 deletions sklearn_extra/cluster/_k_medoids.py
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Original file line number Diff line number Diff line change
Expand Up @@ -155,13 +155,15 @@ def __init__(
init="heuristic",
max_iter=300,
random_state=None,
**metrickw
):
self.n_clusters = n_clusters
self.metric = metric
self.method = method
self.init = init
self.max_iter = max_iter
self.random_state = random_state
self.metrickw=metrickw

def _check_nonnegative_int(self, value, desc, strict=True):
"""Validates if value is a valid integer > 0"""
Expand Down Expand Up @@ -235,7 +237,7 @@ def fit(self, X, y=None):
% (self.n_clusters, X.shape[0])
)

D = pairwise_distances(X, metric=self.metric)
D = pairwise_distances(X, metric=self.metric,**self.metrickwm)

medoid_idxs = self._initialize_medoids(
D, self.n_clusters, random_state_, X
Expand Down Expand Up @@ -379,10 +381,10 @@ def transform(self, X):
check_is_fitted(self, "cluster_centers_")

Y = self.cluster_centers_
kwargs = {}

if self.metric == "seuclidean":
kwargs["V"] = np.var(np.vstack([X, Y]), axis=0, ddof=1)
DXY = pairwise_distances(X, Y=Y, metric=self.metric, **kwargs)
DXY = pairwise_distances(X, Y=Y, metric=self.metric, **self.metrickw)

return DXY

Expand Down Expand Up @@ -421,7 +423,7 @@ def predict(self, X):
X,
Y=self.cluster_centers_,
metric=self.metric,
metric_kwargs=kwargs,
metric_kwargs=self.metrickw,
)

return pd_argmin
Expand Down