[scikit-learn] caching transformers during hyper parameter optimization

[Georg Heiler]

There is a new option in the pipeline:
http://scikit-learn.org/stable/modules/pipeline.html#pipeline-cache
How can I use this to also store the transformed data as I only want to
compute the last step i.e. estimator during hyper parameter tuning and not
the transform methods of the clean steps?

Is there a possibility to apply this for crossvalidation? I would want to
see all the folds precomputed and stored to disk in a folder.

Regards,
Georg
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20170816/1ceb0a9c/attachment.html>