cascade VS powershap

Compare cascade vs powershap and see what are their differences.

cascade

Lightweight and modular MLOps library targeted at small teams or individuals (by Oxid15)

powershap

A power-full Shapley feature selection method. (by predict-idlab)
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cascade powershap
9 1
16 180
- 3.9%
9.3 3.5
5 days ago 7 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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cascade

Posts with mentions or reviews of cascade. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-12.

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!

What are some alternatives?

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

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

evalml - EvalML is an AutoML library written in python.

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.

zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

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

ds2 - Easiest way to use AI models without coding (Web UI & API support)

scikit-learn - scikit-learn: machine learning in Python

FeatureHub - The most comprehensive library of AI/ML features across multiple domains. Our goal is to create a dataset that serves as a valuable resource for researchers and data scientists worldwide

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

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation