| Name | Version | Summary | date |
| paddy |
0.2.3 |
Optimize hyperparameters using the Paddy field algorithm |
2024-03-22 17:31:24 |
| baumeva |
0.6.4 |
Library for the solution of optimization problems with evolution algorithms |
2024-03-07 14:14:51 |
| arfs |
2.2.4 |
All Relevant Feature Selection and Maximal Relevant minimal redundancy FS |
2024-03-03 16:59:07 |
| millipede-regression |
0.1.2 |
A library for bayesian variable selection |
2024-01-21 05:18:04 |
| lofo-importance |
0.3.4 |
Leave One Feature Out Importance |
2024-01-16 09:19:52 |
| uni-active |
0.0.2 |
machine learning |
2023-11-25 21:44:48 |
| input-helper |
0.1.47 |
Helpers for parsing user input, generating menus, transforming data, making comparisons, flexible argument acceptance (string to list/set), regex matching, and more |
2023-11-21 23:08:55 |
| skfeature-gli |
1.1.2 |
Unofficial Fork of Feature Selection Repository in Python (DMML Lab@ASU) |
2023-11-08 17:48:57 |
| IndexedChoiceSelector |
0.1 |
IndexedChoiceSelector is a basic selector class that displays given options with numbers. This allows the user to choose an option either by number, or by name. |
2023-09-18 17:50:36 |
| ikiss |
1.5.0 |
iKISS is a pipeline to detect kmers under selection. |
2023-09-05 10:56:51 |
| strelok |
0.0.7 |
Strelok is a simple Python package that provides FEAT, a feature engineering automation toolkit. With a focus on simplicity, it offers user definable pipelines to streamline the feature engineering process and improve the performance of machine learning models |
2023-08-11 05:25:36 |
| pythonscriptoperations |
0.1.1 |
A package to manage and execute Python operations. |
2023-08-09 16:21:37 |
| EDAspy |
1.1.1 |
EDAspy is a Python package that implements Estimation of Distribution Algorithms. EDAspy allows toeither use already existing implementations or customize the EDAs baseline easily building it bymodules so new research can be easily developed. It also has several benchmarks for comparisons. |
2023-06-28 09:36:34 |
| featurebox |
0.1.1 |
This is an box contains tools for machine learning.Some of code are non-originality, just copy for use. All the referenced code are marked,details can be shown in their sources |
2023-05-06 09:11:58 |
| feature-selection-tools |
1.0.1 |
Library with func-tools to help when selectiong features |
2023-04-22 21:02:15 |
| qdscreen |
0.6.4 |
Quasi-determinism screening for fast Bayesian Network Structure Learning (from T.Rahier's PhD thesis, 2018) |
2023-03-17 16:44:56 |
| fstoolbox |
0.0.2 |
An information theoretic feature selection toolbox. |
2022-12-10 16:17:34 |
| hyperopt |
0.2.7 |
Distributed Asynchronous Hyperparameter Optimization |
2021-11-17 10:05:51 |