ssp.ml.estimator

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class ssp.ml.estimator.text_feature_engineering.TextFeatureEngineering(input_col, output_col, vectorizer='count', max_features=48, ngram_range=2, 2)

Bases: sklearn.base.BaseEstimator, sklearn.base.TransformerMixin

fit(X, y=None)

get_feature_names()

get_features(text)

transform(X, y=None)