Skip to main content

MLVizLib is a powerful package for generating quick, insightful, and stylish visualizations for machine learning.

Project description

mlvizlib

https://img.shields.io/pypi/v/mlvizlib.svg https://img.shields.io/travis/kristianbonnici/mlvizlib.svg Documentation Status

MLVizLib is a powerful package for generating quick, insightful, and stylish visualizations for machine learning.

Features

  • TODO.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.0.2 (2021-06-24)

  • Project connected to GitHub.

0.0.1 (2021-06-24)

  • First release on PyPI.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mlvizlib-0.0.2.tar.gz (9.4 kB view details)

Uploaded Source

Built Distribution

mlvizlib-0.0.2-py2.py3-none-any.whl (3.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file mlvizlib-0.0.2.tar.gz.

File metadata

  • Download URL: mlvizlib-0.0.2.tar.gz
  • Upload date:
  • Size: 9.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10

File hashes

Hashes for mlvizlib-0.0.2.tar.gz
Algorithm Hash digest
SHA256 37107f8b56f53596fe4ba5b7c0c5c7f3620fae888473fe057f7085063fe8448c
MD5 0aeabec703ed564c428a41a46b0d5f5a
BLAKE2b-256 49d0a423876760297df4d980e29ce7a7857c1146fc13f50e0b1443dea9f082d6

See more details on using hashes here.

File details

Details for the file mlvizlib-0.0.2-py2.py3-none-any.whl.

File metadata

  • Download URL: mlvizlib-0.0.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 3.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10

File hashes

Hashes for mlvizlib-0.0.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 fc6a38e08c64058b58717b66c2cba555b9eb61a7f3a13b8e89c7f7a07269b4f7
MD5 5f7049d5c00744404e80399edda13fa2
BLAKE2b-256 bdb64c2cd29f5cdc29d5c4c128fa098a24f1ee6a0039ac80523c68a8a908e5e7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page