| Name | Version | Summary | date |
| example-wise-f1-maximizer |
0.1.5 |
A scikit-learn meta-estimator for multi-label classification that aims to maximize the example-wise F1 measure |
2023-06-16 11:15:57 |
| scikit-MDR |
0.4.5 |
Multifactor Dimensionality Reduction (MDR) |
2023-06-14 17:45:02 |
| DataDoctor |
1.0.15 |
A Python package for data cleaning and preprocessing. |
2023-06-03 20:19:28 |
| skdoc |
0.0.1.5 |
Automated documentation engine for scikit-learn models |
2023-04-16 16:16:19 |
| rapidpredict |
0.0.0.9 |
rapid predict is a python package to simplifies the process of fitting and evaluating multiple machine learning models on a dataset. |
2023-04-14 03:43:24 |
| quality-assurance-data |
0.0.0.1 |
Quality Assurance data and machine learning |
2023-04-10 13:50:01 |
| synthetic-dataset |
0.0.0.2 |
Generating accurate and safe synthetic datasets for tabular, classification, and time-series labeling tasks |
2023-04-10 04:37:01 |
| patatas |
0.1.1 |
A powerful package for K-NN regression, data preprocessing, and analysis for Data Science |
2023-03-27 10:09:54 |
| semal |
0.0.1 |
Tools for deserializing sklearn objects |
2023-03-26 20:18:45 |
| sk-transformers |
0.10.3 |
A collection of various pandas & scikit-learn compatible transformers for all kinds of preprocessing and feature engineering |
2023-03-10 07:33:51 |
| zat |
0.4.6 |
Zeek Analysis Tools |
2023-01-26 21:42:11 |
| poniard |
0.5.0 |
Streamline scikit-learn model comparison |
2022-12-21 13:57:34 |
| skmultichannel |
0.4a0 |
multichannel machine learning library with in-pipeline automation |
2022-12-04 01:49:10 |
| guildai |
0.8.2 |
Experiment tracking, ML developer tools |
2022-10-18 18:44:57 |
| yellowbrick |
1.5 |
A suite of visual analysis and diagnostic tools for machine learning. |
2022-08-21 12:47:13 |
| polyaxon-deploy |
1.0.3 |
Polyaxon deployment and serving tools: streams, sandbox, ML-API, and spaces. |
2022-08-14 14:51:57 |
| sklearn_utils |
0.0.15 |
Sklearn utils |
2018-03-04 14:21:03 |