TPOT:a Python tool that automatically creates and optimizes machine learning pipelines

TPOT是一款基于Python的工具,它利用遗传编程自动创建并优化机器学习流水线。TPOT可以智能地探索数千种可能的流水线配置,找到最适合您数据的最佳方案,并提供相应的Python代码供进一步调整。

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Consider TPOT your Data Science Assistant. TPOT is a Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.

TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data.

An example Machine Learning pipeline

An example Machine Learning pipeline

Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there.

An example TPOT pipeline

TPOT is built on top of scikit-learn, so all of the code it generates should look familiar... if you're familiar with scikit-learn, anyway.

TPOT is still under active development and we encourage you to check back on this repository regularly for updates.

For further information about TPOT, please see the project documentation.

GitHub Link:https://github.com/rhiever/tpot

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