split_into

This function splits a vector into <code>n</code> parts of roughly
 equal size. These splits can be used for parallel processing. In general,
 <code>n</code> should be equal to the number of jobs you want to run, which
 should be the number of cores you want to use.

Fast and memory-friendly tools for text vectorization, topic
modeling (LDA, LSA), word embeddings (GloVe), similarities. This package
provides a source-agnostic streaming API, which allows researchers to perform
analysis of collections of documents which are larger than available RAM. All
core functions are parallelized to benefit from multicore machines.

Dmitriy Selivanov

text2vec

Modern Text Mining Framework for R

Manuel Bickel

Qing Wang

split_into function

<dl><dt>vec</dt>
<dd>input vector</dd>
<dt>n</dt>
<dd><code>integer</code> desired number of chunks</dd></dl>

Arguments

Split a vector for parallel processing — split_into

<dl>

<dt>vec</dt>
<dd>input vector</dd>


<dt>n</dt>
<dd><code>integer</code> desired number of chunks</dd>

</dl>

split_into: Split a vector for parallel processing

Description

Usage

Value

Arguments