nrl · PyPI

Random Walk-Based Network Representation Learning in Python

Installation

nrl can be installed from the latest code on GitHub with:

$ python3 -m pip install git+https://github.com/cthoyt/nrl.git

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for nrl 0.0.1
File	Size	Uploaded
nrl-0.0.1.tar.gz	1.4 MB	Jan 25, 2019	Details

Table of built distributions (wheels) for nrl 0.0.1
File	Interpreter	ABI	Platform	Reset
nrl-0.0.1-py3-none-any.whl 12.0 kB Jan 25, 2019	Python 3	none	any	Details

Total release size: 1.4 MB

Download URL	nrl-0.0.1.tar.gz
Size	1.4 MB
Tags	Source
SHA-256 checksum How to use checksums	`91665adc5882c07203bf001904db4d01968a3aea48bef92198f77077acff3638`
BLAKE2b-256 checksum How to use checksums	`0fbda8cbe23cac2b47e26c3d19ac3c167e09d363b96d2892c74e1fb1a75cea4f`
Upload date	Jan 25, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.7.0`

Download URL	nrl-0.0.1-py3-none-any.whl
Size	12.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`458cbf91a56a6ab0b356e596e09746216be8cd3c759ae3902dbd0a5b74c62272`
BLAKE2b-256 checksum How to use checksums	`0f588cbd82f93a9904d255f5e5ce228e9ebdc877e534641f62bfeebec1a7e83d`
Upload date	Jan 25, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.7.0`

This release

0.0.1 This release