zoofs
NitroFE
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zoofs | NitroFE | |
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4 | 1 | |
236 | 106 | |
- | - | |
0.0 | 0.0 | |
5 months ago | almost 2 years ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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zoofs
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[D] Feature engineering automation?
and as u described considering you will end up with a lot of features. https://github.com/jaswinder9051998/zoofs for feature selection. Zoofs is a wrapper based feature selection, so you'll be able select feature-based purely on performance if u have a healthy test set or if u perform cross-validation
- [P] Feature Selection for tabular data (Zoofs, python package)
- Zoofs, a feature selection Library
- Zoofs , nature inspired wrapper algorithms
NitroFE
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[D] Feature engineering automation?
https://github.com/NITRO-AI/NitroFE for any time-dependent feature engineering
What are some alternatives?
scikit-opt - Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
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
biteopt - Derivative-Free Global Optimization Method (C++, Python binding)
deeplearning
Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.
lambdo - Feature engineering and machine learning: together at last!
GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
neural_prophet - NeuralProphet: A simple forecasting package
Parameterize.Net - Parameterize.Net is a library that allows developers to represent complex objects using float array.
feast - Feature Store for Machine Learning
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD