6.15.8.1. scikits.learn.feature_extraction.text.sparse.TfidfTransformer

class scikits.learn.feature_extraction.text.sparse.TfidfTransformer(use_tf=True, use_idf=True)

Methods

fit(X[, y])	Learn the IDF vector (global term weights)
transform(X[, copy])	Transform a count matrix to a TF or TF-IDF representation

__init__(use_tf=True, use_idf=True)

fit(X, y=None)

Learn the IDF vector (global term weights)

Parameters :

X: sparse matrix, [n_samples, n_features] :

a matrix of term/token counts

transform(X, copy=True)

Transform a count matrix to a TF or TF-IDF representation

Parameters :

X: sparse matrix, [n_samples, n_features] :

a matrix of term/token counts

Returns :

vectors: sparse matrix, [n_samples, n_features] :