microsoftml.n_gram_hash: Converts text into features using hashed n-grams

Usage

microsoftml.n_gram_hash(hash_bits: numbers.Real = 16,
    ngram_length: numbers.Real = 1, skip_length: numbers.Real = 0,
    all_lengths: bool = True, seed: numbers.Real = 314489979,
    ordered: bool = True, invert_hash: numbers.Real = 0)

Description

Extracts NGrams from text and convert them to vector using hashing trick.

Arguments

hash_bits

Number of bits to hash into. Must be between 1 and 30, inclusive. (settings).

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).

seed

Hashing seed (settings).

ordered

Whether the position of each source column should be included in the hash (when there are multiple source columns). (settings).

invert_hash

Limit the number of keys used to generate the slot name to this many. 0 means no invert hashing, -1 means no limit. (settings).

See also

n_gram, featurize_text