mmcorpus_serialize: Serialise Matrix Market Corpus

In news-r/gensimr: Topic Modelling

Description

Serialise a term-document matrix to disk.

Usage

serialize_mmcorpus(corpus, file = NULL, auto_delete = TRUE)

as_serialized_mmcorpus(file)

delete_mmcorpus(file)

Arguments

corpus	A corpus as returned by doc2bow.
file	Path to a .mm file (recommended), if NULL it is saved to a temp file.
auto_delete	Wether to automatically delete the temp file after first use.

Details

Serialize the corpus to disk in order to take advantage of Python's file scan efficiency.

Value

An object of class mm_file which holds the path to the file and metadata.

Functions

• serialize_mmcorpus - Serialize the corpus

• as_serialized_mmcorpus - Create an object of class mm_file from an already created corpus file.

• delete_mmcorpus - Delete temp corpus.

Examples

docs <- prepare_documents(corpus)
dict <- corpora_dictionary(docs)
corpora <- doc2bow(dict, docs)

# serialize and delete
## Not run: corpus_mm <- serialize_mmcorpus(corpora)
## Not run: delete_mmcorpus(corpus_mm)

news-r/gensimr documentation built on Jan. 9, 2021, 5:55 a.m.