715 ml memory #865
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715 ml memory #865
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mfeurer
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May 28, 2020
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Closes #715. |
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charlesfu4
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Jun 17, 2020
* automl#715 Support for no ml memory limit * API update
mfeurer
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Jul 3, 2020
* PEP8 (#718) * multioutput_regression * multioutput_regression * multioutput_regression * multioutput regression * multioutput regression * multioutput regression * multioutput regression * multioutput regression * #782 showcase pipeline components iteration * Fixed flake-8 violations * multi_output regression v1 * fix y_shape in multioutput regression * fix xy_data_manager change due to merge * automl.py missing import * Release note 070 (#842) * First version of 070 release notes * Missed a bugfix * Vim added unexpected space -- fix * prepare new release (#846) * Clip predict values to [0-1] in classification * Fix for 3.5 python! * Sensible default value of 'score_func' for SelectPercentileRegression (#843) Currently default value of 'score_func' for SelectPercentileRegression is "f_classif", which is an invalid value, and will surely be rejected and will not work * More robust tmp file naming (#854) * More robust tmp file naming * UUID approach * 771 worst possible result (#845) * Initial Commit * Make worst result a function * worst possible result in metric * Fixing the name of the scorers * Add exceptions to log file, not just stdout (#863) * Add exceptions to log file, not just stdout * Removing dummy pred as trys is not needed * Add prediction with models trained with cross-validation (#864) * add the possibility to predict with cross-validation * fix unit tests * test new feature, too * 715 ml memory (#865) * #715 Support for no ml memory limit * API update * Docs enhancement (#862) * Improved docs * Fixed example typos * Beautify examples * cleanup examples * fixed rsa equal * Move to minmax scaler (#866) * Do not read predictions in memory, only after score (#870) * Do not read predictions in memory, only after score * Precission support for string/int * Removal of competition manager (#869) * Removal of competition manager * Removed additional unused methods/files and moved metrics to estimator * Fix meta data generation * Make sure pytest is older newer than 4.6 * Unit tst fixing * flake8 fixes in examples * Fix metadata gen metrics * Fix dataprocessing get params (#877) * Fix dataprocessing get params * Add clone-test to regression pipeline * Allow 1-D threshold binary predictions (#879) * fix single output regression not working * regression need no _enusre_prediction_array_size_prediction_array_sizess * #782 showcase pipeline components iteration * Fixed flake-8 violations * Release note 070 (#842) * First version of 070 release notes * Missed a bugfix * Vim added unexpected space -- fix * prepare new release (#846) * Clip predict values to [0-1] in classification * Fix for 3.5 python! * Sensible default value of 'score_func' for SelectPercentileRegression (#843) Currently default value of 'score_func' for SelectPercentileRegression is "f_classif", which is an invalid value, and will surely be rejected and will not work * More robust tmp file naming (#854) * More robust tmp file naming * UUID approach * 771 worst possible result (#845) * Initial Commit * Make worst result a function * worst possible result in metric * Fixing the name of the scorers * Add exceptions to log file, not just stdout (#863) * Add exceptions to log file, not just stdout * Removing dummy pred as trys is not needed * Add prediction with models trained with cross-validation (#864) * add the possibility to predict with cross-validation * fix unit tests * test new feature, too * 715 ml memory (#865) * #715 Support for no ml memory limit * API update * Docs enhancement (#862) * Improved docs * Fixed example typos * Beautify examples * cleanup examples * fixed rsa equal * Move to minmax scaler (#866) * Do not read predictions in memory, only after score (#870) * Do not read predictions in memory, only after score * Precission support for string/int * Removal of competition manager (#869) * Removal of competition manager * Removed additional unused methods/files and moved metrics to estimator * Fix meta data generation * Make sure pytest is older newer than 4.6 * Unit tst fixing * flake8 fixes in examples * Fix metadata gen metrics * Fix dataprocessing get params (#877) * Fix dataprocessing get params * Add clone-test to regression pipeline * Allow 1-D threshold binary predictions (#879) * multioutput_regression * multioutput_regression * multioutput_regression * multioutput_regression * multioutput_regression * multioutput_regression * multioutput regression * multioutput regression * multioutput regression * multioutput regression * multi_output regression v1 * fix y_shape in multioutput regression * fix xy_data_manager change due to merge * fix single output regression not working * regression need no _enusre_prediction_array_size_prediction_array_sizess * Add prediction with models trained with cross-validation (#864) * add the possibility to predict with cross-validation * fix unit tests * test new feature, too * multioutput_regression * multioutput_regression * multioutput_regression * Removal of competition manager (#869) * Removal of competition manager * Removed additional unused methods/files and moved metrics to estimator * Fix meta data generation * Make sure pytest is older newer than 4.6 * Unit tst fixing * flake8 fixes in examples * Fix metadata gen metrics * multioutput after rebased to 0.7.0 Problem: Cause: Solution: * Regressor target y shape index out of range * Revision for make tester * Revision: Cancel Multiclass-MultiOuput * Resolve automl.py metrics(__init__) reg_gb reg_svm * Fix Flake8 errors * Fix automl.py flake8 * Preprocess w/ mulitout reg,automl self._n_outputs * test_estimator.py changed back * cancel multioutput multiclass for multi reg * Fix automl self._n_output update placement * fix flake8 * Kernel pca cancelled mulitout reg * Kernel PCA test skip python <3.8 * Add test unit for multioutput reg and fix. * Fix flake8 error * Kernel PCA multioutput regression * default kernel to cosine, dodge sklearn=0.22 error * Kernel PCA should be updated to 0.23 * Kernel PCA uses rbf kernel * Kernel Pca * Modify labels in reg, class, perpro in examples * Kernel PCA * Add missing supports to mincoal and truncateSVD Co-authored-by: Matthias Feurer <[email protected]> Co-authored-by: chico <[email protected]> Co-authored-by: Francisco Rivera Valverde <[email protected]> Co-authored-by: Xiaodong DENG <[email protected]>
franchuterivera
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Aug 21, 2020
* automl#715 Support for no ml memory limit * API update
franchuterivera
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Aug 21, 2020
* PEP8 (automl#718) * multioutput_regression * multioutput_regression * multioutput_regression * multioutput regression * multioutput regression * multioutput regression * multioutput regression * multioutput regression * automl#782 showcase pipeline components iteration * Fixed flake-8 violations * multi_output regression v1 * fix y_shape in multioutput regression * fix xy_data_manager change due to merge * automl.py missing import * Release note 070 (automl#842) * First version of 070 release notes * Missed a bugfix * Vim added unexpected space -- fix * prepare new release (automl#846) * Clip predict values to [0-1] in classification * Fix for 3.5 python! * Sensible default value of 'score_func' for SelectPercentileRegression (automl#843) Currently default value of 'score_func' for SelectPercentileRegression is "f_classif", which is an invalid value, and will surely be rejected and will not work * More robust tmp file naming (automl#854) * More robust tmp file naming * UUID approach * 771 worst possible result (automl#845) * Initial Commit * Make worst result a function * worst possible result in metric * Fixing the name of the scorers * Add exceptions to log file, not just stdout (automl#863) * Add exceptions to log file, not just stdout * Removing dummy pred as trys is not needed * Add prediction with models trained with cross-validation (automl#864) * add the possibility to predict with cross-validation * fix unit tests * test new feature, too * 715 ml memory (automl#865) * automl#715 Support for no ml memory limit * API update * Docs enhancement (automl#862) * Improved docs * Fixed example typos * Beautify examples * cleanup examples * fixed rsa equal * Move to minmax scaler (automl#866) * Do not read predictions in memory, only after score (automl#870) * Do not read predictions in memory, only after score * Precission support for string/int * Removal of competition manager (automl#869) * Removal of competition manager * Removed additional unused methods/files and moved metrics to estimator * Fix meta data generation * Make sure pytest is older newer than 4.6 * Unit tst fixing * flake8 fixes in examples * Fix metadata gen metrics * Fix dataprocessing get params (automl#877) * Fix dataprocessing get params * Add clone-test to regression pipeline * Allow 1-D threshold binary predictions (automl#879) * fix single output regression not working * regression need no _enusre_prediction_array_size_prediction_array_sizess * automl#782 showcase pipeline components iteration * Fixed flake-8 violations * Release note 070 (automl#842) * First version of 070 release notes * Missed a bugfix * Vim added unexpected space -- fix * prepare new release (automl#846) * Clip predict values to [0-1] in classification * Fix for 3.5 python! * Sensible default value of 'score_func' for SelectPercentileRegression (automl#843) Currently default value of 'score_func' for SelectPercentileRegression is "f_classif", which is an invalid value, and will surely be rejected and will not work * More robust tmp file naming (automl#854) * More robust tmp file naming * UUID approach * 771 worst possible result (automl#845) * Initial Commit * Make worst result a function * worst possible result in metric * Fixing the name of the scorers * Add exceptions to log file, not just stdout (automl#863) * Add exceptions to log file, not just stdout * Removing dummy pred as trys is not needed * Add prediction with models trained with cross-validation (automl#864) * add the possibility to predict with cross-validation * fix unit tests * test new feature, too * 715 ml memory (automl#865) * automl#715 Support for no ml memory limit * API update * Docs enhancement (automl#862) * Improved docs * Fixed example typos * Beautify examples * cleanup examples * fixed rsa equal * Move to minmax scaler (automl#866) * Do not read predictions in memory, only after score (automl#870) * Do not read predictions in memory, only after score * Precission support for string/int * Removal of competition manager (automl#869) * Removal of competition manager * Removed additional unused methods/files and moved metrics to estimator * Fix meta data generation * Make sure pytest is older newer than 4.6 * Unit tst fixing * flake8 fixes in examples * Fix metadata gen metrics * Fix dataprocessing get params (automl#877) * Fix dataprocessing get params * Add clone-test to regression pipeline * Allow 1-D threshold binary predictions (automl#879) * multioutput_regression * multioutput_regression * multioutput_regression * multioutput_regression * multioutput_regression * multioutput_regression * multioutput regression * multioutput regression * multioutput regression * multioutput regression * multi_output regression v1 * fix y_shape in multioutput regression * fix xy_data_manager change due to merge * fix single output regression not working * regression need no _enusre_prediction_array_size_prediction_array_sizess * Add prediction with models trained with cross-validation (automl#864) * add the possibility to predict with cross-validation * fix unit tests * test new feature, too * multioutput_regression * multioutput_regression * multioutput_regression * Removal of competition manager (automl#869) * Removal of competition manager * Removed additional unused methods/files and moved metrics to estimator * Fix meta data generation * Make sure pytest is older newer than 4.6 * Unit tst fixing * flake8 fixes in examples * Fix metadata gen metrics * multioutput after rebased to 0.7.0 Problem: Cause: Solution: * Regressor target y shape index out of range * Revision for make tester * Revision: Cancel Multiclass-MultiOuput * Resolve automl.py metrics(__init__) reg_gb reg_svm * Fix Flake8 errors * Fix automl.py flake8 * Preprocess w/ mulitout reg,automl self._n_outputs * test_estimator.py changed back * cancel multioutput multiclass for multi reg * Fix automl self._n_output update placement * fix flake8 * Kernel pca cancelled mulitout reg * Kernel PCA test skip python <3.8 * Add test unit for multioutput reg and fix. * Fix flake8 error * Kernel PCA multioutput regression * default kernel to cosine, dodge sklearn=0.22 error * Kernel PCA should be updated to 0.23 * Kernel PCA uses rbf kernel * Kernel Pca * Modify labels in reg, class, perpro in examples * Kernel PCA * Add missing supports to mincoal and truncateSVD Co-authored-by: Matthias Feurer <[email protected]> Co-authored-by: chico <[email protected]> Co-authored-by: Francisco Rivera Valverde <[email protected]> Co-authored-by: Xiaodong DENG <[email protected]>
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Fix one point in autosklearn that forces ml memory limit to be an integer, so we can use https://github.com/sfalkner/pynisher with None.
Updated API if None is provided, so no memory limit is enforced