aprofs package metadada
aprofs: Approximate Prediction Feature Selection using Shapley Values
Welcome to aprofs, an open-source Python package designed to simplify the process of feature selection using approximate prediction with Shapley values.
The idea is that using on this package you can speed up feature selection (in an approximate way).
Please look at the package website for more resources: Aprofs Documentation
Features
-
Feature Selection: aprofs uses Shapley values, a concept from cooperative game theory, to identify the most important features in your dataset.
-
Feature Visualization: aprofs uses Shapley values to check the marginal behavior of the feature used by the model using pdp plots.
Installation
You can install aprofs via pip:
pip install aprofs==0.0.5
Usage
Please look into the website here: Aprofs Documentation
Contributing
As an open-source project, we welcome contributions from the community. I will create a CONTRIBUTING.md for guidelines on how to contribute.
License This project is licensed under the terms of the MIT license.
Metadata
Release files for aprofs 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aprofs-0.0.5.tar.gz | 10.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aprofs-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.0 kB
Release files / aprofs-0.0.5.tar.gz
| Download URL | aprofs-0.0.5.tar.gz |
|---|---|
| Size | 10.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9942f0f6a6da7aed11fbd93e419dc79b50b7f25b35ca3e2195494adb65dd37c0
|
|
BLAKE2b-256 checksum How to use checksums |
ae8b39333cea13cb864ec9e2a2cba0da0ba5f230d44373bf90751ef217927508
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.14
|
Release files / aprofs-0.0.5-py3-none-any.whl
| Download URL | aprofs-0.0.5-py3-none-any.whl |
|---|---|
| Size | 10.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ed075f7c33460a68790ebc75fb908fd431c0cb3edb5bb4de7a5365f64f8df3cc
|
|
BLAKE2b-256 checksum How to use checksums |
42e90a891e016bcda96035fecad0b10b254fa20683e425fe30edb7770b1939a3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.14
|