tft.bag_of_words( tokens, ngram_range, separator, name=None )
Computes a bag of "words" based on the specified ngram configuration.
A light wrapper around tft.ngrams. First computes ngrams, then transforms the ngram representation (list semantics) into a Bag of Words (set semantics) per row. Each row reflects the set of unique ngrams present in an input record.
See tft.ngrams for more information.
tokens: a two-dimensional
tf.stringcontaining tokens that will be used to construct a bag of words.
ngram_range: A pair with the range (inclusive) of ngram sizes to compute.
separator: a string that will be inserted between tokens when ngrams are constructed.
name: (Optional) A name for this operation.
SparseTensor containing the unique set of ngrams from each row of the
input. Note: the original order of the ngrams may not be preserved.