| Name | Version | Summary | date |
| pyscreeningfs |
0.1.1 |
This is a Python implementation by the authors of the paper 'Online Feature Screening for Data Streams With Concept Drift' from Dr. Mingyuan Wang and Dr. Adrian Barbu. Contain various feature selection methods. |
2025-08-04 00:15:07 |
| fri |
9.0.0 |
Implementation of Feature Relevance Bounds method to perform Feature Selection and further analysis. |
2025-08-02 14:54:43 |
| dataclr |
0.3.0 |
A Python library for feature selection in tabular datasets |
2025-03-05 22:08:39 |
| ensemble-binclass |
1.0.10 |
Feature selection and ensemble classification |
2025-02-05 22:45:46 |
| featboostx |
0.1.0rc2 |
A Python package for the FeatBoost-X feature selection algorithm |
2025-01-10 13:26:37 |
| powershap_rs |
0.2.0 |
Feature selection using statistical significance of shap values with powershap-statistical-analysis-rs |
2024-11-18 18:13:47 |
| distfeatselect |
0.1.4 |
A Pyhton package implementing distributed feature selection algorithm. |
2024-11-06 22:54:46 |
| alfese |
1.0.0 |
Alternative feature selection |
2024-10-12 07:19:40 |
| cffs |
1.0.0 |
Constrained feature selection |
2024-10-04 08:18:33 |
| Boruta |
0.4.3 |
Python Implementation of Boruta Feature Selection |
2024-08-13 19:54:38 |
| felimination |
0.3.0 |
This library contains some useful scikit-learn compatible classes for feature selection. |
2024-07-31 08:05:25 |
| powershap |
0.0.10 |
Feature selection using statistical significance of shap values |
2024-05-02 08:02:15 |
| FeaSel-Net |
0.0.10 |
A Keras callback package for recursively pruning the most uninformative input nodes during training. |
2024-03-13 12:28:37 |
| delve-fs |
0.1.4 |
Feature selection for preserving biological trajectories from single-cell data |
2024-02-14 17:37:32 |
| zoish |
5.0.4 |
Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making model development more efficient and user-friendly. |
2024-02-07 07:24:26 |
| cognitivefactory-features-maximization-metric |
1.0.0 |
Implementation of Features Maximization Metric, an unbiased metric aimed at estimate the quality of an unsupervised classification. |
2023-11-14 13:09:07 |
| PBFS |
2.0.0 |
Performance Based Feature selection Technique: Prototype |
2023-09-27 12:31:39 |
| hjannova |
0.0.2 |
ANOVA TEST |
2023-08-16 12:12:30 |
| itershap |
0.1.1 |
Iterative feature selection method using SHAP values |
2023-08-16 08:56:45 |
| Hive-ML |
1.0.1 |
Python package to run Machine Learning Experiments, within the Hive Framework. |
2023-07-25 14:59:38 |