microsoftml.n_gram: Converts text into features using n-grams

Usage

microsoftml.n_gram(ngram_length: numbers.Real = 1,
    skip_length: numbers.Real = 0, all_lengths: bool = True,
    max_num_terms: list = [10000000], weighting: str = 'Tf')

Description

Extracts NGrams from text and convert them to vector using dictionary.

Arguments

ngram_length

Ngram length (settings).

skip_length

Maximum number of tokens to skip when constructing an ngram (settings).

all_lengths

Whether to include all ngram lengths up to NgramLength or only NgramLength (settings).

max_num_terms

Maximum number of ngrams to store in the dictionary (settings).

weighting

The weighting criteria (settings).

See also

n_gram_hash, featurize_text