n-gram-hash.md

title	description	author	ms.author	ms.date	ms.service	ms.subservice	ms.topic	keywords	ms.devlang	monikerRange
n_gram_hash: n_gram_hash	Extracts NGrams from text and convert them to vector using hashing trick.	VanMSFT	vanto	07/15/2019	sql	machine-learning-services	reference	N-Grams hash	python	>=sql-server-2017||>=sql-server-linux-ver15

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