| Name | Version | Summary | date |
| AutogluonToScikitWrapper |
0.0.1 |
Autogluon to Scikit Wrapper |
2024-05-16 12:00:05 |
| mlrl-boomer |
0.10.0 |
A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label classification rules |
2024-05-05 17:02:39 |
| mlrl-seco |
0.10.0 |
A scikit-learn implementation of a separate-and-conquer multi-label rule learning algorithm |
2024-05-05 17:01:59 |
| mlrl-common |
0.10.0 |
Provides common modules to be used by different types of multi-label rule learning algorithms |
2024-05-05 17:01:31 |
| skforecast |
0.12.0 |
Forecasting time series with scikit-learn regressors. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...). |
2024-05-05 12:52:38 |
| mlrl-testbed |
0.10.0 |
Provides utilities for the training and evaluation of multi-label rule learning algorithms |
2024-05-05 00:06:13 |
| tsml |
0.4.0 |
A toolkit for time series machine learning algorithms. |
2024-04-25 10:29:23 |
| scikeras |
0.13.0 |
Scikit-Learn API wrapper for Keras. |
2024-04-11 22:24:07 |
| psy-transect |
0.1.0 |
Psyplot plugin for visualizing data along a transect |
2024-04-04 05:13:50 |