Local Interpretable Model-Agnostic Explanations for machine learning classifiers
Project description
UNKNOWN
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
lime-0.1.1.15.tar.gz
(188.2 kB
view details)
Built Distribution
lime-0.1.1.15-py2.7.egg
(349.2 kB
view details)
File details
Details for the file lime-0.1.1.15.tar.gz.
File metadata
- Download URL: lime-0.1.1.15.tar.gz
- Upload date:
- Size: 188.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f2b75e56273ef6b1c59815f4ba4cc3ee1adb2ee947673ca5c5d50fbb460af3be |
|
| MD5 | 7f2e848d022947f79dcb68f3106b0b83 |
|
| BLAKE2b-256 | 0b59d63f596036f34877673ff57761a4ee38aa66e5b3e126dc843f5f18f9ab78 |
File details
Details for the file lime-0.1.1.15-py2.7.egg.
File metadata
- Download URL: lime-0.1.1.15-py2.7.egg
- Upload date:
- Size: 349.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c42ac2e538e7b54536a564b860ec09198c8b6ea812d972b0d2c3da2719db49c9 |
|
| MD5 | 109d972c88aa852386d1d04510a40459 |
|
| BLAKE2b-256 | f6759c90e8d277b27797018522c0dc4c441fd552a70837923b2a7c34533537fb |
