[scikit-learn] The 2nd International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2019): ENTERING THE ERA OF BIG DATA VIA TRANSFER LEARNING AND DATA HARMONIZATION

Dear Colleagues,We are delighted to invite you to join us for the MLCN 2019 workshop as a satellite event of the MICCAI 2019 conference, Shenzhen, China. Call for Papers Recent advances in neuroimaging and machine learning provide an exceptional opportunity for investigators

Re: [scikit-learn] Categorical Encoding of high cardinality variables

Hello everyone, I am Sole, I started the conversation on feature engine , a package I created for feature engineering. Regarding the grouping of *rare / infrequent* categories into an umbrella term like "Rare", "Other", etc, which Federico raised recently,

Re: [scikit-learn] Feature engineering functionality - new package

Hi Andreas and team, Thank you very much for your reply. This was very helpful. Happy to hear that functionality similar to CountFrequencyCategoricalEncoder, MeanCategoriclaEncoder and RareLabelCategoricalEncoder are in the agenda. The last functionality, grouping of rare labels, would be useful f