EpistasisLab/tpot2
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
This tool helps data scientists and machine learning practitioners automatically build and optimize machine learning models. You provide your raw dataset, and it explores various data preprocessing steps, feature selections, and model combinations to deliver the best-performing predictive model for your task. It acts as a smart assistant, freeing you from manually testing countless options.
250 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly find a high-performing machine learning pipeline for your data without extensive manual experimentation.
Not ideal if you require complete transparency and fine-grained control over every step of your model's creation, or if your dataset is extremely small.
Stars
250
Forks
33
Language
Jupyter Notebook
License
LGPL-3.0
Category
Last pushed
Feb 04, 2025
Commits (30d)
0
Dependencies
20
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