feature_hasher

<code>integer</code> > 0 - number of hash-buckets
for hashing trick (feature hashing). Preferably power of 2 number.

hash_size

<code>integer</code> vector. The lower and upper boundary of the range of
n-values for different n-grams to be extracted. All values of n such that

ngram

<code>logical</code>,  indicating whether to use second hash-function
to reduce impact of collisions.

signed_hash

Creates <code>text2vec_feature_hasher</code> object (actually a simple list),
which contains meta-information about feature hashing parameters. Usually result
of this function is used in <a href="/link/create_hash_corpus?package=text2vec&version=0.2.0" rd-options="" data-mini-rdoc="text2vec::create_hash_corpus">create_hash_corpus</a> function.

Very fast and memory-friendly tools for text vectorization and
    learning word embeddings (GloVe). Also package provides source-agnostic
    streaming API, which allows to perform analysis of collections
    of documents, which are much larger the available RAM.

feature_hasher: Creates meta information about feature hashing

Description

Usage

Arguments

See Also

Examples