generic predictive framework to evaluate predictive power of arbitrary feature to target mapping
Project description
easypredict
generic predictive framework to evaluate predictive power of arbitrary feature to target mapping
Free software: Apache Software License 2.0
Documentation: https://easypredict.readthedocs.io.
Features
TODO
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.0.1 (2018-05-16)
First release on PyPI.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
easypredict-0.0.1.tar.gz
(8.0 kB
view details)
Built Distribution
File details
Details for the file easypredict-0.0.1.tar.gz.
File metadata
- Download URL: easypredict-0.0.1.tar.gz
- Upload date:
- Size: 8.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 3b90859d2166cc8c7303b993d227a7ebdce055cd778f45ea2bd8430b58b56e22 |
|
| MD5 | 100a95a80769b6b270dfa5a738192f6c |
|
| BLAKE2b-256 | 0aefdbbc14b23bba19ae9ab3490be981068fb724c5e7ea8fd467e4d28986e60e |
File details
Details for the file easypredict-0.0.1-py2.py3-none-any.whl.
File metadata
- Download URL: easypredict-0.0.1-py2.py3-none-any.whl
- Upload date:
- Size: 3.5 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2a7a0a31643d0357ac3e37c67d1a020c06d60cb7dcbb414d2b1823ddd366bc82 |
|
| MD5 | 0fb81727809f97e0ec86279fa11bf19d |
|
| BLAKE2b-256 | 7ae49fa9e71bf79aa5491307ec22aa4aa77dd18e0c5c4898e0a8f2d7bf2e4523 |
