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.
1 maintainer
Metadata
1 maintainer
Release files for easypredict 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| easypredict-0.0.1.tar.gz | 8.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| easypredict-0.0.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 11.5 kB
Release files / easypredict-0.0.1.tar.gz
| Download URL | easypredict-0.0.1.tar.gz |
|---|---|
| Size | 8.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3b90859d2166cc8c7303b993d227a7ebdce055cd778f45ea2bd8430b58b56e22
|
|
BLAKE2b-256 checksum How to use checksums |
0aefdbbc14b23bba19ae9ab3490be981068fb724c5e7ea8fd467e4d28986e60e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / easypredict-0.0.1-py2.py3-none-any.whl
| Download URL | easypredict-0.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
2a7a0a31643d0357ac3e37c67d1a020c06d60cb7dcbb414d2b1823ddd366bc82
|
|
BLAKE2b-256 checksum How to use checksums |
7ae49fa9e71bf79aa5491307ec22aa4aa77dd18e0c5c4898e0a8f2d7bf2e4523
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
