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
Geri Bildirim
https://aka.ms/ContentUserFeedback.
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