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Support using CountVectorizer & TfidVectorizer in cuml.pipeline.Pipeline #5034

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merged 3 commits into from
Dec 17, 2022
Merged

Support using CountVectorizer & TfidVectorizer in cuml.pipeline.Pipeline #5034

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e383c14
Make CountVectorizer support the pipeline
lasse-it Nov 29, 2022
6618019
Make TfidfVectorizer support the pipeline
lasse-it Nov 29, 2022
3b0c227
Fix formatting
lasse-it Nov 29, 2022
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4 changes: 3 additions & 1 deletion python/cuml/feature_extraction/_tfidf_vectorizer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -218,7 +218,7 @@ def fit(self, raw_documents):
self._tfidf.fit(X)
return self

def fit_transform(self, raw_documents):
def fit_transform(self, raw_documents, y=None):
"""Learn vocabulary and idf, return document-term matrix.
This is equivalent to fit followed by transform, but more efficiently
implemented.
Expand All @@ -227,6 +227,8 @@ def fit_transform(self, raw_documents):
----------
raw_documents : cudf.Series or pd.Series
A Series of string documents
y : None
Ignored.

Returns
-------
Expand Down
8 changes: 6 additions & 2 deletions python/cuml/feature_extraction/_vectorizers.py
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Expand Up @@ -509,7 +509,7 @@ def _preprocess(self, raw_documents):
preprocess = self.build_preprocessor()
return preprocess(raw_documents)

def fit(self, raw_documents):
def fit(self, raw_documents, y=None):
"""
Build a vocabulary of all tokens in the raw documents.

Expand All @@ -518,6 +518,8 @@ def fit(self, raw_documents):

raw_documents : cudf.Series or pd.Series
A Series of string documents
y : None
Ignored.

Returns
-------
Expand All @@ -527,7 +529,7 @@ def fit(self, raw_documents):
self.fit_transform(raw_documents)
return self

def fit_transform(self, raw_documents):
def fit_transform(self, raw_documents, y=None):
"""
Build the vocabulary and return document-term matrix.

Expand All @@ -538,6 +540,8 @@ def fit_transform(self, raw_documents):
----------
raw_documents : cudf.Series or pd.Series
A Series of string documents
y : None
Ignored.

Returns
-------
Expand Down