Comments (3)
perib
commented on June 8, 2024
how are you installing tpot?
When creating a new environment with anaconda, and installing with pip, I'm able to install the package very quickly with
conda create -n myenv python
conda activate myenv
pip install tpot
Note that this installs the latest Python version, which breaks the current version tpot (#1327), but PR #1331 fixes this. In the meantime, manually installing the fix or using an older version of python should work.
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Luigiboard
commented on June 8, 2024
ImportError: cannot import name 'get_scorer_names' from 'sklearn.metrics'
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perib
commented on June 8, 2024
This could be due to an old version of scikit learn being used. I updated the minimum requirements for TPOT. Try updating your sklearn version to the latest and let us know if that resolved the issue.
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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
- How can I be part of the project to develop new modules? HOT 2
- 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
- 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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