Name | Version | Summary | date |
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 |
PySCIPOpt-ML |
1.1.1 |
automatically formulate and embed ML models into MIPs with SCIP |
2024-05-02 10:04:11 |
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 |