| Name | Version | Summary | date |
| model-confidence-set |
0.1.1 |
model-confidence-set provides a Python implementation of the Model Confidence Set (MCS) procedure (Hansen, Lunde, and Nason, 2011), a statistical method for comparing and selecting models based on their performance. |
2024-03-12 10:11:58 |
| mindfoundry-optaas-client |
1.4.4 |
Mind Foundry Optimization as a Service: Python Client |
2024-01-26 11:58:35 |
| lccv |
0.2.0 |
The official Learning Curve Database package |
2023-08-22 19:48:31 |
| mquad |
0.1.7 |
MQuad - Mixture Modelling for Mitochondrial Mutation detection |
2023-07-24 04:46:08 |
| mlms |
0.11.0 |
This package is to facilitate model selection in Machine Learning. |
2023-04-22 15:48:48 |
| tscv |
0.1.3 |
Time series cross-validation |
2023-01-23 18:50:02 |