in denseclus/DenseClus.py [0:0]
def _fit_numerical(self):
numerical_umap = umap.UMAP(
metric="l2",
n_neighbors=self.n_neighbors,
n_components=self.n_components,
min_dist=0.0,
random_state=self.random_state,
).fit(self.numerical_)
self.numerical_umap_ = numerical_umap
return self