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kenmatsu4 authored
* Bug fix for first_metric_only if the first metric is train metric. * Update bug fix for feval issue. * Disable feval for first_metric_only. * Additional test items. * Fix wrong assertEqual settings & formating. * Change dataset of test. * Fix random seed for test. * Modiry assumed test result due to different sklearn verion between CI and local. * Remove f-string * Applying variable assumed test result for test. * Fix flake8 error. * Modifying in accordance with review comments. * Modifying for pylint. * simplified tests * Deleting error criteria `if eval_metric is None`. * Delete test items of classification. * Simplifying if condition. * Applying first_metric_only for sklearn wrapper. * Modifying test_sklearn for comforming to python 2.x * Fix flake8 error. * Additional fix for sklearn and add tests. * Bug fix and add test cases. * some refactor * fixed lint * fixed lint * Fix duplicated metrics scores to pass the test. * Fix the case first_metric_only not in params. * Converting metrics aliases. * Add comment. * Modify comment for pylint. * Modify comment for pydocstyle. * Using split test set for two eval_set. * added test case for metric aliases and length checks * minor style fixes * fixed rmse name and alias position * Fix the case metric=[] * Fix using env.model._train_data_name * Fix wrong test condition. * Move initial process to _init() func. * Modify test setting for test_sklearn & training data matching on callback.py * test_sklearn.py -> A test case for training is wrong, so fixed. * callback.py -> A condition of if statement for detecting test dataset is wrong, so fixed. * Support composite name metrics. * Remove metric check process & reduce redundant test cases. For #2273 fixed not only the order of metrics in cpp, removing metric check process at callback.py * Revised according to the matters pointed out on a review. * increased code readability * Fix the issue of order of validation set. * Changing to OrderdDict from default dict for score result. * added missed check in cv function for first_metric_only and feval co-occurrence * keep order only for metrics but not for datasets in best_score * move OrderedDict initialization to init phase * fixed minor printing issues * move first metric detection to init phase and split can be performed without checks * split only once during callback * removed excess code * fixed typo in variable name and squashed ifs * use setdefault * hotfix * fixed failing test * refined tests * refined sklearn test * Making "feval" effective on early stopping. * allow feval and first_metric_only for cv * removed unused code * added tests for feval * fixed printing * add note about whitespaces in feval name * Modifying final iteration process in case valid set is training data.
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