Hey all.
Should we collect some discussion points for the sprint?
There's an unusual amount of core-devs present and I think we should
seize the opportunity.
Maybe we should create a page in the wiki or add it to the sprint page?
Things that are high on my list of priorities are:
* slicing pipelines
* add get_feature_names to pipelines
* freezing estimator
* faster multi-metric scoring
* fit_transform doing something other than fit.transform
* imbalance-learn interface / subsampling in pipelines
* Specifying search spaces and valid hyper parameters
(https://github.com/scikit-learn/scikit-learn/issues/13031).
* allowing EstimatorCV-style speed-up in GridSearches
* storing pandas column names and using them as feature names
Trying to discuss all of these might be too much, but maybe we can
figure out a subset and make sure we have sleps to discuss?
Most of these issues are on the roadmap, issue 13031 is reladed to #18
but not directly on the roadmap.
Thanks,
Andy
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