powershap VS evalml

Compare powershap vs evalml and see what are their differences.

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powershap evalml
1 2
180 713
3.9% 1.1%
3.5 8.7
7 days ago 8 days ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" 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.

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.
    1 project | /r/MachineLearning | 20 Jun 2022
    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!

evalml

Posts with mentions or reviews of evalml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-19.

What are some alternatives?

When comparing powershap and evalml you can also consider the following projects:

cascade - Lightweight and modular MLOps library targeted at small teams or individuals

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

NVTabular - NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

easyopt - zero-code hyperparameters optimization framework

upgini - Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.