module mltricks.text_vectorizer_transformer
#
Short summary#
module papierstat.mltricks.text_vectorizer_transformer
Implements TextVectorizerTransformer.
Classes#
class |
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Overwrites TfIdfVectorizer or CountVectorizer so that it can be used in a pipeline. Parameters ———- … |
Properties#
property |
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HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should … |
Methods#
method |
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Trains an estimator on every column. |
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Applies the vectorizer on X. |
Documentation#
Implements TextVectorizerTransformer.
- class papierstat.mltricks.text_vectorizer_transformer.TextVectorizerTransformer(estimator)#
Bases :
BaseEstimator
,TransformerMixin
Overwrites TfIdfVectorizer or CountVectorizer so that it can be used in a pipeline.
Parameters#
estimator: estimator to fit on every column
estimators_: trained estimators, one per column
- param estimator:
TfIdfVectorizer or CountVectorizer
- __init__(estimator)#
- Paramètres:
estimator – TfIdfVectorizer or CountVectorizer
- _sklearn_auto_wrap_output_keys = {'transform'}#
- fit(X, y=None)#
Trains an estimator on every column.
- transform(X)#
Applies the vectorizer on X.