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speed up minority coalescer #810

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Mar 27, 2020
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speed up minority coalescer #810

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17 changes: 8 additions & 9 deletions autosklearn/pipeline/implementations/MinorityCoalescer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -55,19 +55,18 @@ def transform(self, X):
indptr_start = X.indptr[column]
indptr_end = X.indptr[column + 1]
unique = np.unique(X.data[indptr_start:indptr_end])
else:
unique = np.unique(X[:, column])

for unique_value in unique:
if unique_value not in self.do_not_coalesce_[column]:
if sparse.issparse(X):
for unique_value in unique:
if unique_value not in self.do_not_coalesce_[column]:
indptr_start = X.indptr[column]
indptr_end = X.indptr[column + 1]
X.data[indptr_start:indptr_end][
X.data[indptr_start:indptr_end] == unique_value] = 1
else:
X[:, column][X[:, column] == unique_value] = 1

else:
unique = np.unique(X[:, column])
unique_values = [unique_value for unique_value in unique
if unique_value not in self.do_not_coalesce_[column]]
mask = np.isin(X[:, column], unique_values)
X[mask, column] = 1
return X

def fit_transform(self, X, y=None):
Expand Down