EpistasisLab / EpistasisLab/tpot
Can I use TransformedTargetRegressor in tpot?
Open
- Dominant language
- Jupyter Notebook
- Stars
- 10.1k
- Forks
- 1.6k
- PR merge metrics
- No merged PRs in 30d
Description
In some cases transforming the target will improve the prediction drastically for regression problems (see: https://scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html)
Can I use the sklearn.compose.TransformedTargetRegressor step in a tpot pipeline, so that it transforms the target accordingly, but evaluates the predictions after applying the inverse_transform? Also the final predictions should be retransformed by inverse_transform.
Contributor guide
No contributing guide indexed for this repository
Assessment
This issue has not been assessed yet.