easypredict

generic predictive framework to evaluate predictive power of arbitrary feature to target mapping

Project description

generic predictive framework to evaluate predictive power of arbitrary feature to target mapping

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

This version

0.0.1

May 16, 2018

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

Files for easypredict, version 0.0.1
Filename, size	File type	Python version	Upload date	Hashes
Filename, size easypredict-0.0.1-py2.py3-none-any.whl (3.5 kB)	File type Wheel	Python version py2.py3	Upload date May 16, 2018	Hashes View
Filename, size easypredict-0.0.1.tar.gz (8.0 kB)	File type Source	Python version None	Upload date May 16, 2018	Hashes View

Hashes for easypredict-0.0.1-py2.py3-none-any.whl
Algorithm	Hash digest
SHA256	`2a7a0a31643d0357ac3e37c67d1a020c06d60cb7dcbb414d2b1823ddd366bc82`
MD5	`0fb81727809f97e0ec86279fa11bf19d`
BLAKE2-256	`7ae49fa9e71bf79aa5491307ec22aa4aa77dd18e0c5c4898e0a8f2d7bf2e4523`

Hashes for easypredict-0.0.1.tar.gz
Algorithm	Hash digest
SHA256	`3b90859d2166cc8c7303b993d227a7ebdce055cd778f45ea2bd8430b58b56e22`
MD5	`100a95a80769b6b270dfa5a738192f6c`
BLAKE2-256	`0aefdbbc14b23bba19ae9ab3490be981068fb724c5e7ea8fd467e4d28986e60e`