XPER (eXplainable PERformance) is a methodology designed to measure the specific contribution of the input features to the predictive performance of any econometric or machine learning model.
Project description
The author of this package has not provided a project description
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
XPER-0.0.68.tar.gz
(6.3 MB
view details)
Built Distribution
XPER-0.0.68-py3-none-any.whl
(520.2 kB
view details)
File details
Details for the file XPER-0.0.68.tar.gz.
File metadata
- Download URL: XPER-0.0.68.tar.gz
- Upload date:
- Size: 6.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 158ca15a8f7885dd0b58e8bb03cdae2990baedb25fc43444b3dca40d647155da |
|
| MD5 | 4bbf9f60e3bb02977a87bbf028c87670 |
|
| BLAKE2b-256 | 14da9276fc2cd4bdd6b4cd8bc56be016bcc295359ed1e5397ec65dec89bc8834 |
Provenance
File details
Details for the file XPER-0.0.68-py3-none-any.whl.
File metadata
- Download URL: XPER-0.0.68-py3-none-any.whl
- Upload date:
- Size: 520.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4b8f5f3c8c53772bb1abd78e54a90adf0fdb94f7a1c614ed7a0e0ba360951382 |
|
| MD5 | 649325b062f339e81d97d1c615b9d900 |
|
| BLAKE2b-256 | 575f9fb63a4cfe36f6c383c679ee5f8219b619820dec05057895bd65249ba2f3 |
