Fit interpretable machine learning models. Explain blackbox machine learning.
Project description
In the beginning machines learned in darkness, and data scientists struggled in the void to explain them.
Let there be light.
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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file interpret-0.2.4-py3-none-any.whl.
File metadata
- Download URL: interpret-0.2.4-py3-none-any.whl
- Upload date:
- Size: 1.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.54.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 935d9be35f298a5bf3fcacdcd9e7f556a97aa25779feacea1570f572ebeb0f9a |
|
| MD5 | 3148e3c09b1c48c2ab427e4aa35b138a |
|
| BLAKE2b-256 | 46ce444e5098422d15d28db4498da608866b14d8a18a8be68630af1146c80984 |
