powershap
A power-full Shapley feature selection method. (by predict-idlab)
Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms. (by rodrigo-arenas)
| powershap | Sklearn-genetic-opt | |
|---|---|---|
| 1 | 6 | |
| 180 | 273 | |
| 3.9% | - | |
| 3.5 | 4.6 | |
| 7 days ago | 3 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
powershap
Posts with mentions or reviews of powershap.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[R] PowerShap: A power-full Shapley feature selection method.
We are glad to present our novel shap-based wrapper feature selection method called PowerShap! This method uses statistical hypothesis testing and power calculations on Shapley values, enabling fast and intuitive wrapper-based feature selection. The complete library and methods are fully compatible with Sklearn, LightGBM, CatBoost, and more are coming in further following releases and the library can be found here: https://github.com/predict-idlab/powershap! The library is open-source and usable out-of-the-box as shown in the video!
Sklearn-genetic-opt
Posts with mentions or reviews of Sklearn-genetic-opt.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-02.
- GitHub - rodrigo-arenas/Sklearn-genetic-opt: Hyperparameters tuning and feature selection, using evolutionary algorithms.
- New Python AutoML Package
-
Looking for contributors AutoML project in Python
The project is open for collaborators of different levels of expertise, there are some issues about new features, enchacements on docs, etc. Repo: https://github.com/rodrigo-arenas/Sklearn-genetic-opt
- I've been working on an machine learning hyperparameters tuning open source project
-
Looking for open source contributors: AutoML
Here is the repo: https://github.com/rodrigo-arenas/Sklearn-genetic-opt
-
Introducing Sklearn-genetic-opt: Hyperparameters tuning using evolutionary algorithms [project]
If you want to know more the details or contribute, you can check the Github repository
What are some alternatives?
When comparing powershap and Sklearn-genetic-opt you can also consider the following projects:
cascade - Lightweight and modular MLOps library targeted at small teams or individuals
genetic-algorithm-in-python - A genetic algorithm written in Python for educational purposes.