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Improve metalearning for automatically filter featurizers #106

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merged 19 commits into from
Oct 25, 2018

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@Qi-max Qi-max commented Oct 24, 2018

Implemented strategies for automatically remove some composition/structure featurizers that will not work for a given dataset, e.g. returning more nans than the allowed max_na_percent, by extracting some composition/structure metafeatures from the given dataset.

metalearning has been moved to matbench.featurization. I will work on making it a part of .fit and the docs, logger etc.

@Qi-max Qi-max closed this Oct 24, 2018
@Qi-max Qi-max reopened this Oct 24, 2018
@Qi-max Qi-max merged commit 11cd3d0 into hackingmaterials:master Oct 25, 2018
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