| Name | Version | Summary | date |
| graphreduce |
1.6.4 |
Leveraging graph data structures for complex feature engineering pipelines. |
2024-04-23 13:35:39 |
| premium-primitives |
0.0.3 |
|
2024-03-19 14:46:14 |
| nlp-primitives |
2.12.0 |
natural language processing primitives for Featuretools |
2024-02-26 18:56:24 |
| featuretools |
1.30.0 |
a framework for automated feature engineering |
2024-02-26 17:29:35 |
| adaptivebridge |
1.1.0 |
Revolutionizing ML adaptive modelling for handling missing features and data. The model can predict missing data in real-world scenarios. |
2024-01-29 13:21:58 |
| autopilotml |
1.0.5 |
A package for automating machine learning tasks |
2023-11-23 20:20:08 |
| winner |
0.0.1 |
A python package for data-centric MLOps for data cleaning and feature engineering |
2023-09-28 14:23:04 |
| PBFS |
2.0.0 |
Performance Based Feature selection Technique: Prototype |
2023-09-27 12:31:39 |
| trajpy |
1.4.3 |
Empowering feature engineering for trajectory analysis across domains. |
2023-08-18 13:30:36 |
| autofeat |
2.1.2 |
Automatic Feature Engineering and Selection Linear Prediction Model |
2023-07-28 17:28:40 |
| 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 |
| imperio |
0.1.5 |
Imperio is a python sci-kit learn inspired package for feature engineering. |
2023-02-05 15:13:21 |
| reparo |
0.0.6 |
Reparo is a python sci-kit learn inspired package for Missing Value Imputation. |
2023-02-05 14:46:32 |
| pycircular |
0.1.2 |
|
2023-01-17 01:06:14 |
| bigfeat |
0.1 |
Automated feature engineering library |
2023-01-11 12:55:35 |
| featuretools-sql |
0.0.5 |
directly import and convert their relational data into a Featuretools |
2022-12-20 19:31:34 |
| anovos |
1.1.0 |
An Open Source tool for Feature Engineering in Machine Learning |
2022-12-02 16:00:19 |