Factual package intelligence from PyPI

w2vembeddings 0.1.2 package intelligence

This package is main for translate word into vector for nlp embedding. maybe chinese maybe english, any language you want to use is ok. This is main for those who will use word2vec in local from txt files. In particular, this implementation primarily helps to construct a separate

pip install w2vembeddings

Current version
0.1.2
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
11.3 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

w2vembeddings dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tqdm
  2. requests
  3. numpy

Compatibility and release files

w2vembeddings publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.6.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .