{"push_id":779029069,"size":1,"distinct_size":1,"ref":"refs/heads/lr-sampleweights","head":"b842844b1daf34ded73650827eb5e04dc3f08775","before":"9cb3a18748cf1e057000e7d273dd7a6a3e26326b","commits":[{"sha":"b842844b1daf34ded73650827eb5e04dc3f08775","author":{"email":"c0a48645687008079ec25e56e08ae210cc605f14@dhcp017102095099.corp.apple.com","name":"Valentin Stolbunov"},"message":"Added handling of sample weights to _log_reg_scoring_path.\n\nBecause this function is called during cross validation with\ntraining data subsamples, we need to define a sample_weight_train\nsimilar to the way we get X_train from X.\n\nWe first check if sample_weight is None and if so set\nsample_weight_train to None as well. Otherwise we select only\nthe [train] elements of sample_weight.\n\nWe also add sample_weight_train as a parameter to the call of\nlogistic_regression_path.","distinct":true,"url":"https://api.github.com/repos/vstolbunov/scikit-learn/commits/b842844b1daf34ded73650827eb5e04dc3f08775"}]}