Prepare release of Auto-sklearn 0.4.2 #595
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update xgboost dependency
Update requirements
* refactor: changed max_depth parameter name * Changed the parameter name 'max_depth' to 'max_depth_factor' in the decision_tree.py file in both the 'regression/decision_tree' and 'classification/decision_tree' folders. Related to: #569 * fix: fixed invalid parameter name * Fixed invalid parameter name of 'max_depth_factor' to 'max_depth' while initializing the sklearn's DecisionTreeClassifier and DecisionTreeRegressor. Related to: #569 * refactor: added line breaks * Added line breaks in decision_tree.py files to enforce the rule that no line should have more then 79 characters. Related to: #569 * fix: removed trailing whitespaces * fix: replaced tabs with spaces * fix: fixed identation * fix: fixed identation * fix: reverted incorrect Makefile changes * fix: reverted Makefile change
add "," for numpy versions for backward compatibility
* Pass train_size and test_size as integers (number of samples) instead of floats (ratio of samples) * Changed assigment of train samples for general use in every cv case * Added Unit Tests * Changed for simpler solution. Remove 'raveling' for multilabel cases * Fix PEP8 errors * Addition Fix PEP8 errors * Addition Fix PEP8 errors * Delete competition_c_functions.c
* . * . * AutoSklearnClassifier/Regressor's fit, refit, fit_ensemble now return self. * Initial commit. Work in Progress. * Fix minor printing error in sprint_statistics. * Revert "Fix#460" * Raise error if ensemble is not built (#480) * . * . * AutoSklearnClassifier/Regressor's fit, refit, fit_ensemble now return self. * Initial commit. Work in Progress. * Fix minor printing error in sprint_statistics. * Revert "Fix#460" * Resolve rebase conflict * combined unittests to reduce travis runtime * . * . * . * . * . * Check target type at the beginning of the fitting process. * . * Fixed minor error in uniitest * . * Add unittest for target type checking. * . * . * [Debug] try with numpy version 1.14.5 * [Debug] Check if numpy version 1.14.6 raises error. * Check target type at the beginning of the fitting process. * . * Fixed minor error in uniitest * . * Add unittest for target type checking. * . * . * [Debug] Check if numpy version 1.14.6 raises error. * Fix numpy version to 1.14.5 * Add comment to Mock in test_type_of_target * Fix line length in example_parallel.py * Fix minor error * FIX classifier returning prediction larger than 1 * Remove comments * ADD unittest for ensemble_selection.predict() * minor FIX * ADD assertion in predict_proba to check probabilities sum up to 1. * REVERT changes in autosklearn/ensemble_builder.py * simplify ensemble prediction method * Modify assertion statement * ADD case check in ensemble_selection.predict() * Fix minor error in pred_probs verficiation. * Modify unittest for ensemble_selection.predict() * FIX flake8 errors * FIX flake8 error * ADD Ignore assertion for multilabel, check probabilities lie between [0, 1]. * Debug flake8 error
Codecov Report
@@ Coverage Diff @@
## master #595 +/- ##
==========================================
+ Coverage 78.59% 78.72% +0.12%
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Files 130 130
Lines 10120 10129 +9
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+ Hits 7954 7974 +20
+ Misses 2166 2155 -11
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