in denseclus/DenseClus.py [0:0]
def _fit_categorical(self):
categorical_umap = umap.UMAP(
metric="dice",
n_neighbors=self.n_neighbors,
n_components=self.n_components,
min_dist=0.0,
random_state=self.random_state,
).fit(self.categorical_)
self.categorical_umap_ = categorical_umap
return self