Comments (2)
perib
commented on June 18, 2024
We have shifted development towards TPOT2 (found here https://github.com/EpistasisLab/tpot2). I wrote a quick description about it in this issue #1322 .
Hopefully the new version is easier to understand. We welcome any feedback on what we have so far! If you think that something could be better organized, clearer, or better implemented, feel free to let us know by opening an issue or pull request.
The Tutorials folder is a good place to start to get a sense of basic features/functionality. Then the BaseEvolver contains all the logic for the evolution of individuals. And the estimator class basically wraps everything in an sklearn estimator format.
Feel free to contact me with specific questions
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JoelUser
commented on June 18, 2024
I would like to resolve some particular questions, but I would like to have an email to have a more personal conversation.
My email is: [email protected]
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Related Issues (20)
- Potential New Feature: allowing users to input customized initial pipelines HOT 1
- TPOT2 and the future of TPOT development -- From the Devs
- Documentation should use est=TPOTClassifier rather than tpot=TPOTClassifier
- Question: How is the data split using cross validation HOT 2
- In python 3.12, Get error after importing module. HOT 1
- How to map the features at the end of the pipeline back to the initial features HOT 1
- Can't import TPOTClassifier from tpot
- How long is the installation supposed to take HOT 3
- TPOTClassifier error for large data HOT 1
- TPOT error for xgboost multiclass classificaion HOT 1
- Unable to install pip ARM64 Mac HOT 5
- TPOT NN example fails
- last update of code and report HOT 1
- TPOT report error HOT 4
- Feature to Export the Pipeline/Model as pickle file HOT 1
- TPOT underpopulates a class, but manual sklearn does not HOT 4
- macos
- Tpot affects the nb of jobs at import HOT 1
- How to use tpot with MLFlow HOT 5
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