Cocktail branch inconsistencies #275
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ArlindKadra
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ravinkohli
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Oct 21, 2021
* Update implementation * Coding style fixes * Implementation update * Style fix * Turn weighted loss into a constant again, implementation update * Cocktail branch inconsistencies (#275) * To nemo * Revert change in T_curr as results conclusively prove it should be 0 * Revert cutmix change after data from run * Final conclusion after results * FIX bug in shake alpha beta * Updated if is_training condition for shake drop * Remove temp fix in row cutmic * Cocktail fixes time debug (#286) * preprocess inside data validator * add time debug statements * Add fixes for categorical data * add fit_ensemble * add arlind fix for swa and se * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * shuffle = False * Shake Shake updates (#287) * To test locally * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * To test locally * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * To test locally * shuffle = False * To test locally * updates to search space * updates to search space * update branch with search space * undo search space update * fix bug in shake shake flag * limit to shake-even * restrict to even even * Add even even and others for shake-drop also * fix bug in passing alpha beta method * restrict to only even even * fix silly bug: * remove imputer and ordinal encoder for categorical transformer in feature validator * Address comments from shuhei * fix issues with ensemble fitting post hoc * Address comments on the PR * Fix flake and mypy errors * Address comments from PR #286 * fix bug in embedding * Update autoPyTorch/api/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/training/trainer/base_trainer.py Co-authored-by: nabenabe0928 <[email protected]> * Address comments from shuhei * adress comments from shuhei * fix flake and mypy * Update autoPyTorch/pipeline/components/training/trainer/RowCutMixTrainer.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * increase threads_per_worker * fix bug in rowcutmix * Enhancement for the tabular validator. (#291) * Initial try at an enhancement for the tabular validator * Adding a few type annotations * Fixing bugs in implementation * Adding wrongly deleted code part during rebase * Fix bug in _get_args * Fix bug in _get_args * Addressing Shuhei's comments * Address Shuhei's comments * Refactoring code * Refactoring code * Typos fix and additional comments * Replace nan in categoricals with simple imputer * Remove unused function * add comment * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Adding unit test for only nall columns in the tabular feature categorical evaluator * fix bug in remove all nan columns * Bug fix for making tests run by arlind * fix flake errors in feature validator * made typing code uniform * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * address comments from shuhei * address comments from shuhei (2) Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * resolve code issues with new versions * Address comments from shuhei * make run_traditional_ml function * implement suggestion from shuhei and fix bug in rowcutmixtrainer * fix return type docstring * add better documentation and fix bug in shake_drop_get_bl * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * add test for comparator and other improvements based on PR comments * fix bug in test * [fix] Fix the condition in the raising error of all_nan_columns * [refactor] Unite name conventions of numpy array and pandas dataframe * [doc] Add the description about the tabular feature transformation * [doc] Add the description of the tabular feature transformation * address comments from arlind * address comments from arlind * change to as_tensor and address comments from arlind * correct description for functions in data module Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Arlind Kadra <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Addressing Shuhei's comments * flake8 problems fix * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Add indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Add line indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Validate if there is a column transformer since for sparse matrices we will not have one. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/utils/implementations.py Delete uncommented line. Co-authored-by: Ravin Kohli <[email protected]> * Allow the number of threads to be given by the user * Removing unnecessary argument and refactoring the attribute. * Addressing Ravin's comments * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Updating the function documentation according to the agreed style. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Providing information on the wrong method provided for shake-shake regularization. Co-authored-by: nabenabe0928 <[email protected]> * add todo for backend and accept changes from shuhei * Addressing Shuhei's and Ravin's comments * Addressing Shuhei's and Ravin's comments, bug fix * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving code readibility. Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving consistency. Co-authored-by: nabenabe0928 <[email protected]> * bug fix Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Ravin Kohli <[email protected]>
ravinkohli
added a commit
that referenced
this pull request
Dec 8, 2021
* Update implementation * Coding style fixes * Implementation update * Style fix * Turn weighted loss into a constant again, implementation update * Cocktail branch inconsistencies (#275) * To nemo * Revert change in T_curr as results conclusively prove it should be 0 * Revert cutmix change after data from run * Final conclusion after results * FIX bug in shake alpha beta * Updated if is_training condition for shake drop * Remove temp fix in row cutmic * Cocktail fixes time debug (#286) * preprocess inside data validator * add time debug statements * Add fixes for categorical data * add fit_ensemble * add arlind fix for swa and se * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * shuffle = False * Shake Shake updates (#287) * To test locally * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * To test locally * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * To test locally * shuffle = False * To test locally * updates to search space * updates to search space * update branch with search space * undo search space update * fix bug in shake shake flag * limit to shake-even * restrict to even even * Add even even and others for shake-drop also * fix bug in passing alpha beta method * restrict to only even even * fix silly bug: * remove imputer and ordinal encoder for categorical transformer in feature validator * Address comments from shuhei * fix issues with ensemble fitting post hoc * Address comments on the PR * Fix flake and mypy errors * Address comments from PR #286 * fix bug in embedding * Update autoPyTorch/api/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/training/trainer/base_trainer.py Co-authored-by: nabenabe0928 <[email protected]> * Address comments from shuhei * adress comments from shuhei * fix flake and mypy * Update autoPyTorch/pipeline/components/training/trainer/RowCutMixTrainer.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * increase threads_per_worker * fix bug in rowcutmix * Enhancement for the tabular validator. (#291) * Initial try at an enhancement for the tabular validator * Adding a few type annotations * Fixing bugs in implementation * Adding wrongly deleted code part during rebase * Fix bug in _get_args * Fix bug in _get_args * Addressing Shuhei's comments * Address Shuhei's comments * Refactoring code * Refactoring code * Typos fix and additional comments * Replace nan in categoricals with simple imputer * Remove unused function * add comment * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Adding unit test for only nall columns in the tabular feature categorical evaluator * fix bug in remove all nan columns * Bug fix for making tests run by arlind * fix flake errors in feature validator * made typing code uniform * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * address comments from shuhei * address comments from shuhei (2) Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * resolve code issues with new versions * Address comments from shuhei * make run_traditional_ml function * implement suggestion from shuhei and fix bug in rowcutmixtrainer * fix return type docstring * add better documentation and fix bug in shake_drop_get_bl * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * add test for comparator and other improvements based on PR comments * fix bug in test * [fix] Fix the condition in the raising error of all_nan_columns * [refactor] Unite name conventions of numpy array and pandas dataframe * [doc] Add the description about the tabular feature transformation * [doc] Add the description of the tabular feature transformation * address comments from arlind * address comments from arlind * change to as_tensor and address comments from arlind * correct description for functions in data module Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Arlind Kadra <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Addressing Shuhei's comments * flake8 problems fix * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Add indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Add line indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Validate if there is a column transformer since for sparse matrices we will not have one. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/utils/implementations.py Delete uncommented line. Co-authored-by: Ravin Kohli <[email protected]> * Allow the number of threads to be given by the user * Removing unnecessary argument and refactoring the attribute. * Addressing Ravin's comments * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Updating the function documentation according to the agreed style. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Providing information on the wrong method provided for shake-shake regularization. Co-authored-by: nabenabe0928 <[email protected]> * add todo for backend and accept changes from shuhei * Addressing Shuhei's and Ravin's comments * Addressing Shuhei's and Ravin's comments, bug fix * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving code readibility. Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving consistency. Co-authored-by: nabenabe0928 <[email protected]> * bug fix Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Ravin Kohli <[email protected]>
ravinkohli
added a commit
that referenced
this pull request
Dec 8, 2021
* Update implementation * Coding style fixes * Implementation update * Style fix * Turn weighted loss into a constant again, implementation update * Cocktail branch inconsistencies (#275) * To nemo * Revert change in T_curr as results conclusively prove it should be 0 * Revert cutmix change after data from run * Final conclusion after results * FIX bug in shake alpha beta * Updated if is_training condition for shake drop * Remove temp fix in row cutmic * Cocktail fixes time debug (#286) * preprocess inside data validator * add time debug statements * Add fixes for categorical data * add fit_ensemble * add arlind fix for swa and se * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * shuffle = False * Shake Shake updates (#287) * To test locally * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * To test locally * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * To test locally * shuffle = False * To test locally * updates to search space * updates to search space * update branch with search space * undo search space update * fix bug in shake shake flag * limit to shake-even * restrict to even even * Add even even and others for shake-drop also * fix bug in passing alpha beta method * restrict to only even even * fix silly bug: * remove imputer and ordinal encoder for categorical transformer in feature validator * Address comments from shuhei * fix issues with ensemble fitting post hoc * Address comments on the PR * Fix flake and mypy errors * Address comments from PR #286 * fix bug in embedding * Update autoPyTorch/api/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/training/trainer/base_trainer.py Co-authored-by: nabenabe0928 <[email protected]> * Address comments from shuhei * adress comments from shuhei * fix flake and mypy * Update autoPyTorch/pipeline/components/training/trainer/RowCutMixTrainer.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * increase threads_per_worker * fix bug in rowcutmix * Enhancement for the tabular validator. (#291) * Initial try at an enhancement for the tabular validator * Adding a few type annotations * Fixing bugs in implementation * Adding wrongly deleted code part during rebase * Fix bug in _get_args * Fix bug in _get_args * Addressing Shuhei's comments * Address Shuhei's comments * Refactoring code * Refactoring code * Typos fix and additional comments * Replace nan in categoricals with simple imputer * Remove unused function * add comment * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Adding unit test for only nall columns in the tabular feature categorical evaluator * fix bug in remove all nan columns * Bug fix for making tests run by arlind * fix flake errors in feature validator * made typing code uniform * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * address comments from shuhei * address comments from shuhei (2) Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * resolve code issues with new versions * Address comments from shuhei * make run_traditional_ml function * implement suggestion from shuhei and fix bug in rowcutmixtrainer * fix return type docstring * add better documentation and fix bug in shake_drop_get_bl * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * add test for comparator and other improvements based on PR comments * fix bug in test * [fix] Fix the condition in the raising error of all_nan_columns * [refactor] Unite name conventions of numpy array and pandas dataframe * [doc] Add the description about the tabular feature transformation * [doc] Add the description of the tabular feature transformation * address comments from arlind * address comments from arlind * change to as_tensor and address comments from arlind * correct description for functions in data module Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Arlind Kadra <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Addressing Shuhei's comments * flake8 problems fix * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Add indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Add line indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Validate if there is a column transformer since for sparse matrices we will not have one. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/utils/implementations.py Delete uncommented line. Co-authored-by: Ravin Kohli <[email protected]> * Allow the number of threads to be given by the user * Removing unnecessary argument and refactoring the attribute. * Addressing Ravin's comments * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Updating the function documentation according to the agreed style. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Providing information on the wrong method provided for shake-shake regularization. Co-authored-by: nabenabe0928 <[email protected]> * add todo for backend and accept changes from shuhei * Addressing Shuhei's and Ravin's comments * Addressing Shuhei's and Ravin's comments, bug fix * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving code readibility. Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving consistency. Co-authored-by: nabenabe0928 <[email protected]> * bug fix Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Ravin Kohli <[email protected]>
ravinkohli
added a commit
that referenced
this pull request
Dec 21, 2021
* Update implementation * Coding style fixes * Implementation update * Style fix * Turn weighted loss into a constant again, implementation update * Cocktail branch inconsistencies (#275) * To nemo * Revert change in T_curr as results conclusively prove it should be 0 * Revert cutmix change after data from run * Final conclusion after results * FIX bug in shake alpha beta * Updated if is_training condition for shake drop * Remove temp fix in row cutmic * Cocktail fixes time debug (#286) * preprocess inside data validator * add time debug statements * Add fixes for categorical data * add fit_ensemble * add arlind fix for swa and se * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * shuffle = False * Shake Shake updates (#287) * To test locally * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * To test locally * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * To test locally * shuffle = False * To test locally * updates to search space * updates to search space * update branch with search space * undo search space update * fix bug in shake shake flag * limit to shake-even * restrict to even even * Add even even and others for shake-drop also * fix bug in passing alpha beta method * restrict to only even even * fix silly bug: * remove imputer and ordinal encoder for categorical transformer in feature validator * Address comments from shuhei * fix issues with ensemble fitting post hoc * Address comments on the PR * Fix flake and mypy errors * Address comments from PR #286 * fix bug in embedding * Update autoPyTorch/api/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/training/trainer/base_trainer.py Co-authored-by: nabenabe0928 <[email protected]> * Address comments from shuhei * adress comments from shuhei * fix flake and mypy * Update autoPyTorch/pipeline/components/training/trainer/RowCutMixTrainer.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * increase threads_per_worker * fix bug in rowcutmix * Enhancement for the tabular validator. (#291) * Initial try at an enhancement for the tabular validator * Adding a few type annotations * Fixing bugs in implementation * Adding wrongly deleted code part during rebase * Fix bug in _get_args * Fix bug in _get_args * Addressing Shuhei's comments * Address Shuhei's comments * Refactoring code * Refactoring code * Typos fix and additional comments * Replace nan in categoricals with simple imputer * Remove unused function * add comment * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Adding unit test for only nall columns in the tabular feature categorical evaluator * fix bug in remove all nan columns * Bug fix for making tests run by arlind * fix flake errors in feature validator * made typing code uniform * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * address comments from shuhei * address comments from shuhei (2) Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * resolve code issues with new versions * Address comments from shuhei * make run_traditional_ml function * implement suggestion from shuhei and fix bug in rowcutmixtrainer * fix return type docstring * add better documentation and fix bug in shake_drop_get_bl * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * add test for comparator and other improvements based on PR comments * fix bug in test * [fix] Fix the condition in the raising error of all_nan_columns * [refactor] Unite name conventions of numpy array and pandas dataframe * [doc] Add the description about the tabular feature transformation * [doc] Add the description of the tabular feature transformation * address comments from arlind * address comments from arlind * change to as_tensor and address comments from arlind * correct description for functions in data module Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Arlind Kadra <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Addressing Shuhei's comments * flake8 problems fix * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Add indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Add line indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Validate if there is a column transformer since for sparse matrices we will not have one. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/utils/implementations.py Delete uncommented line. Co-authored-by: Ravin Kohli <[email protected]> * Allow the number of threads to be given by the user * Removing unnecessary argument and refactoring the attribute. * Addressing Ravin's comments * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Updating the function documentation according to the agreed style. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Providing information on the wrong method provided for shake-shake regularization. Co-authored-by: nabenabe0928 <[email protected]> * add todo for backend and accept changes from shuhei * Addressing Shuhei's and Ravin's comments * Addressing Shuhei's and Ravin's comments, bug fix * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving code readibility. Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving consistency. Co-authored-by: nabenabe0928 <[email protected]> * bug fix Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Ravin Kohli <[email protected]>
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Jan 24, 2022
* Update implementation * Coding style fixes * Implementation update * Style fix * Turn weighted loss into a constant again, implementation update * Cocktail branch inconsistencies (#275) * To nemo * Revert change in T_curr as results conclusively prove it should be 0 * Revert cutmix change after data from run * Final conclusion after results * FIX bug in shake alpha beta * Updated if is_training condition for shake drop * Remove temp fix in row cutmic * Cocktail fixes time debug (#286) * preprocess inside data validator * add time debug statements * Add fixes for categorical data * add fit_ensemble * add arlind fix for swa and se * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * shuffle = False * Shake Shake updates (#287) * To test locally * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * To test locally * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * To test locally * shuffle = False * To test locally * updates to search space * updates to search space * update branch with search space * undo search space update * fix bug in shake shake flag * limit to shake-even * restrict to even even * Add even even and others for shake-drop also * fix bug in passing alpha beta method * restrict to only even even * fix silly bug: * remove imputer and ordinal encoder for categorical transformer in feature validator * Address comments from shuhei * fix issues with ensemble fitting post hoc * Address comments on the PR * Fix flake and mypy errors * Address comments from PR #286 * fix bug in embedding * Update autoPyTorch/api/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/training/trainer/base_trainer.py Co-authored-by: nabenabe0928 <[email protected]> * Address comments from shuhei * adress comments from shuhei * fix flake and mypy * Update autoPyTorch/pipeline/components/training/trainer/RowCutMixTrainer.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * increase threads_per_worker * fix bug in rowcutmix * Enhancement for the tabular validator. (#291) * Initial try at an enhancement for the tabular validator * Adding a few type annotations * Fixing bugs in implementation * Adding wrongly deleted code part during rebase * Fix bug in _get_args * Fix bug in _get_args * Addressing Shuhei's comments * Address Shuhei's comments * Refactoring code * Refactoring code * Typos fix and additional comments * Replace nan in categoricals with simple imputer * Remove unused function * add comment * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Adding unit test for only nall columns in the tabular feature categorical evaluator * fix bug in remove all nan columns * Bug fix for making tests run by arlind * fix flake errors in feature validator * made typing code uniform * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * address comments from shuhei * address comments from shuhei (2) Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * resolve code issues with new versions * Address comments from shuhei * make run_traditional_ml function * implement suggestion from shuhei and fix bug in rowcutmixtrainer * fix return type docstring * add better documentation and fix bug in shake_drop_get_bl * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * add test for comparator and other improvements based on PR comments * fix bug in test * [fix] Fix the condition in the raising error of all_nan_columns * [refactor] Unite name conventions of numpy array and pandas dataframe * [doc] Add the description about the tabular feature transformation * [doc] Add the description of the tabular feature transformation * address comments from arlind * address comments from arlind * change to as_tensor and address comments from arlind * correct description for functions in data module Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Arlind Kadra <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Addressing Shuhei's comments * flake8 problems fix * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Add indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Add line indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Validate if there is a column transformer since for sparse matrices we will not have one. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/utils/implementations.py Delete uncommented line. Co-authored-by: Ravin Kohli <[email protected]> * Allow the number of threads to be given by the user * Removing unnecessary argument and refactoring the attribute. * Addressing Ravin's comments * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Updating the function documentation according to the agreed style. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Providing information on the wrong method provided for shake-shake regularization. Co-authored-by: nabenabe0928 <[email protected]> * add todo for backend and accept changes from shuhei * Addressing Shuhei's and Ravin's comments * Addressing Shuhei's and Ravin's comments, bug fix * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving code readibility. Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving consistency. Co-authored-by: nabenabe0928 <[email protected]> * bug fix Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Ravin Kohli <[email protected]>
ravinkohli
added a commit
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Jan 28, 2022
* Update implementation * Coding style fixes * Implementation update * Style fix * Turn weighted loss into a constant again, implementation update * Cocktail branch inconsistencies (#275) * To nemo * Revert change in T_curr as results conclusively prove it should be 0 * Revert cutmix change after data from run * Final conclusion after results * FIX bug in shake alpha beta * Updated if is_training condition for shake drop * Remove temp fix in row cutmic * Cocktail fixes time debug (#286) * preprocess inside data validator * add time debug statements * Add fixes for categorical data * add fit_ensemble * add arlind fix for swa and se * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * shuffle = False * Shake Shake updates (#287) * To test locally * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * To test locally * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * To test locally * shuffle = False * To test locally * updates to search space * updates to search space * update branch with search space * undo search space update * fix bug in shake shake flag * limit to shake-even * restrict to even even * Add even even and others for shake-drop also * fix bug in passing alpha beta method * restrict to only even even * fix silly bug: * remove imputer and ordinal encoder for categorical transformer in feature validator * Address comments from shuhei * fix issues with ensemble fitting post hoc * Address comments on the PR * Fix flake and mypy errors * Address comments from PR #286 * fix bug in embedding * Update autoPyTorch/api/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/training/trainer/base_trainer.py Co-authored-by: nabenabe0928 <[email protected]> * Address comments from shuhei * adress comments from shuhei * fix flake and mypy * Update autoPyTorch/pipeline/components/training/trainer/RowCutMixTrainer.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * increase threads_per_worker * fix bug in rowcutmix * Enhancement for the tabular validator. (#291) * Initial try at an enhancement for the tabular validator * Adding a few type annotations * Fixing bugs in implementation * Adding wrongly deleted code part during rebase * Fix bug in _get_args * Fix bug in _get_args * Addressing Shuhei's comments * Address Shuhei's comments * Refactoring code * Refactoring code * Typos fix and additional comments * Replace nan in categoricals with simple imputer * Remove unused function * add comment * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Adding unit test for only nall columns in the tabular feature categorical evaluator * fix bug in remove all nan columns * Bug fix for making tests run by arlind * fix flake errors in feature validator * made typing code uniform * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * address comments from shuhei * address comments from shuhei (2) Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * resolve code issues with new versions * Address comments from shuhei * make run_traditional_ml function * implement suggestion from shuhei and fix bug in rowcutmixtrainer * fix return type docstring * add better documentation and fix bug in shake_drop_get_bl * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * add test for comparator and other improvements based on PR comments * fix bug in test * [fix] Fix the condition in the raising error of all_nan_columns * [refactor] Unite name conventions of numpy array and pandas dataframe * [doc] Add the description about the tabular feature transformation * [doc] Add the description of the tabular feature transformation * address comments from arlind * address comments from arlind * change to as_tensor and address comments from arlind * correct description for functions in data module Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Arlind Kadra <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Addressing Shuhei's comments * flake8 problems fix * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Add indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Add line indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Validate if there is a column transformer since for sparse matrices we will not have one. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/utils/implementations.py Delete uncommented line. Co-authored-by: Ravin Kohli <[email protected]> * Allow the number of threads to be given by the user * Removing unnecessary argument and refactoring the attribute. * Addressing Ravin's comments * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Updating the function documentation according to the agreed style. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Providing information on the wrong method provided for shake-shake regularization. Co-authored-by: nabenabe0928 <[email protected]> * add todo for backend and accept changes from shuhei * Addressing Shuhei's and Ravin's comments * Addressing Shuhei's and Ravin's comments, bug fix * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving code readibility. Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving consistency. Co-authored-by: nabenabe0928 <[email protected]> * bug fix Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Ravin Kohli <[email protected]>
ravinkohli
added a commit
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Feb 28, 2022
* Update implementation * Coding style fixes * Implementation update * Style fix * Turn weighted loss into a constant again, implementation update * Cocktail branch inconsistencies (#275) * To nemo * Revert change in T_curr as results conclusively prove it should be 0 * Revert cutmix change after data from run * Final conclusion after results * FIX bug in shake alpha beta * Updated if is_training condition for shake drop * Remove temp fix in row cutmic * Cocktail fixes time debug (#286) * preprocess inside data validator * add time debug statements * Add fixes for categorical data * add fit_ensemble * add arlind fix for swa and se * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * shuffle = False * Shake Shake updates (#287) * To test locally * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * To test locally * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * To test locally * shuffle = False * To test locally * updates to search space * updates to search space * update branch with search space * undo search space update * fix bug in shake shake flag * limit to shake-even * restrict to even even * Add even even and others for shake-drop also * fix bug in passing alpha beta method * restrict to only even even * fix silly bug: * remove imputer and ordinal encoder for categorical transformer in feature validator * Address comments from shuhei * fix issues with ensemble fitting post hoc * Address comments on the PR * Fix flake and mypy errors * Address comments from PR #286 * fix bug in embedding * Update autoPyTorch/api/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/training/trainer/base_trainer.py Co-authored-by: nabenabe0928 <[email protected]> * Address comments from shuhei * adress comments from shuhei * fix flake and mypy * Update autoPyTorch/pipeline/components/training/trainer/RowCutMixTrainer.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * increase threads_per_worker * fix bug in rowcutmix * Enhancement for the tabular validator. (#291) * Initial try at an enhancement for the tabular validator * Adding a few type annotations * Fixing bugs in implementation * Adding wrongly deleted code part during rebase * Fix bug in _get_args * Fix bug in _get_args * Addressing Shuhei's comments * Address Shuhei's comments * Refactoring code * Refactoring code * Typos fix and additional comments * Replace nan in categoricals with simple imputer * Remove unused function * add comment * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Adding unit test for only nall columns in the tabular feature categorical evaluator * fix bug in remove all nan columns * Bug fix for making tests run by arlind * fix flake errors in feature validator * made typing code uniform * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * address comments from shuhei * address comments from shuhei (2) Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * resolve code issues with new versions * Address comments from shuhei * make run_traditional_ml function * implement suggestion from shuhei and fix bug in rowcutmixtrainer * fix return type docstring * add better documentation and fix bug in shake_drop_get_bl * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * add test for comparator and other improvements based on PR comments * fix bug in test * [fix] Fix the condition in the raising error of all_nan_columns * [refactor] Unite name conventions of numpy array and pandas dataframe * [doc] Add the description about the tabular feature transformation * [doc] Add the description of the tabular feature transformation * address comments from arlind * address comments from arlind * change to as_tensor and address comments from arlind * correct description for functions in data module Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Arlind Kadra <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Addressing Shuhei's comments * flake8 problems fix * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Add indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Add line indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Validate if there is a column transformer since for sparse matrices we will not have one. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/utils/implementations.py Delete uncommented line. Co-authored-by: Ravin Kohli <[email protected]> * Allow the number of threads to be given by the user * Removing unnecessary argument and refactoring the attribute. * Addressing Ravin's comments * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Updating the function documentation according to the agreed style. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Providing information on the wrong method provided for shake-shake regularization. Co-authored-by: nabenabe0928 <[email protected]> * add todo for backend and accept changes from shuhei * Addressing Shuhei's and Ravin's comments * Addressing Shuhei's and Ravin's comments, bug fix * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving code readibility. Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving consistency. Co-authored-by: nabenabe0928 <[email protected]> * bug fix Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Ravin Kohli <[email protected]>
ravinkohli
added a commit
that referenced
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Feb 28, 2022
* Update implementation * Coding style fixes * Implementation update * Style fix * Turn weighted loss into a constant again, implementation update * Cocktail branch inconsistencies (#275) * To nemo * Revert change in T_curr as results conclusively prove it should be 0 * Revert cutmix change after data from run * Final conclusion after results * FIX bug in shake alpha beta * Updated if is_training condition for shake drop * Remove temp fix in row cutmic * Cocktail fixes time debug (#286) * preprocess inside data validator * add time debug statements * Add fixes for categorical data * add fit_ensemble * add arlind fix for swa and se * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * shuffle = False * Shake Shake updates (#287) * To test locally * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * To test locally * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * To test locally * shuffle = False * To test locally * updates to search space * updates to search space * update branch with search space * undo search space update * fix bug in shake shake flag * limit to shake-even * restrict to even even * Add even even and others for shake-drop also * fix bug in passing alpha beta method * restrict to only even even * fix silly bug: * remove imputer and ordinal encoder for categorical transformer in feature validator * Address comments from shuhei * fix issues with ensemble fitting post hoc * Address comments on the PR * Fix flake and mypy errors * Address comments from PR #286 * fix bug in embedding * Update autoPyTorch/api/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/training/trainer/base_trainer.py Co-authored-by: nabenabe0928 <[email protected]> * Address comments from shuhei * adress comments from shuhei * fix flake and mypy * Update autoPyTorch/pipeline/components/training/trainer/RowCutMixTrainer.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * increase threads_per_worker * fix bug in rowcutmix * Enhancement for the tabular validator. (#291) * Initial try at an enhancement for the tabular validator * Adding a few type annotations * Fixing bugs in implementation * Adding wrongly deleted code part during rebase * Fix bug in _get_args * Fix bug in _get_args * Addressing Shuhei's comments * Address Shuhei's comments * Refactoring code * Refactoring code * Typos fix and additional comments * Replace nan in categoricals with simple imputer * Remove unused function * add comment * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Adding unit test for only nall columns in the tabular feature categorical evaluator * fix bug in remove all nan columns * Bug fix for making tests run by arlind * fix flake errors in feature validator * made typing code uniform * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * address comments from shuhei * address comments from shuhei (2) Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * resolve code issues with new versions * Address comments from shuhei * make run_traditional_ml function * implement suggestion from shuhei and fix bug in rowcutmixtrainer * fix return type docstring * add better documentation and fix bug in shake_drop_get_bl * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * add test for comparator and other improvements based on PR comments * fix bug in test * [fix] Fix the condition in the raising error of all_nan_columns * [refactor] Unite name conventions of numpy array and pandas dataframe * [doc] Add the description about the tabular feature transformation * [doc] Add the description of the tabular feature transformation * address comments from arlind * address comments from arlind * change to as_tensor and address comments from arlind * correct description for functions in data module Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Arlind Kadra <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Addressing Shuhei's comments * flake8 problems fix * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Add indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Add line indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Validate if there is a column transformer since for sparse matrices we will not have one. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/utils/implementations.py Delete uncommented line. Co-authored-by: Ravin Kohli <[email protected]> * Allow the number of threads to be given by the user * Removing unnecessary argument and refactoring the attribute. * Addressing Ravin's comments * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Updating the function documentation according to the agreed style. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Providing information on the wrong method provided for shake-shake regularization. Co-authored-by: nabenabe0928 <[email protected]> * add todo for backend and accept changes from shuhei * Addressing Shuhei's and Ravin's comments * Addressing Shuhei's and Ravin's comments, bug fix * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving code readibility. Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving consistency. Co-authored-by: nabenabe0928 <[email protected]> * bug fix Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Ravin Kohli <[email protected]>
ravinkohli
added a commit
that referenced
this pull request
Mar 9, 2022
* Update implementation * Coding style fixes * Implementation update * Style fix * Turn weighted loss into a constant again, implementation update * Cocktail branch inconsistencies (#275) * To nemo * Revert change in T_curr as results conclusively prove it should be 0 * Revert cutmix change after data from run * Final conclusion after results * FIX bug in shake alpha beta * Updated if is_training condition for shake drop * Remove temp fix in row cutmic * Cocktail fixes time debug (#286) * preprocess inside data validator * add time debug statements * Add fixes for categorical data * add fit_ensemble * add arlind fix for swa and se * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * shuffle = False * Shake Shake updates (#287) * To test locally * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * To test locally * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * To test locally * shuffle = False * To test locally * updates to search space * updates to search space * update branch with search space * undo search space update * fix bug in shake shake flag * limit to shake-even * restrict to even even * Add even even and others for shake-drop also * fix bug in passing alpha beta method * restrict to only even even * fix silly bug: * remove imputer and ordinal encoder for categorical transformer in feature validator * Address comments from shuhei * fix issues with ensemble fitting post hoc * Address comments on the PR * Fix flake and mypy errors * Address comments from PR #286 * fix bug in embedding * Update autoPyTorch/api/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/training/trainer/base_trainer.py Co-authored-by: nabenabe0928 <[email protected]> * Address comments from shuhei * adress comments from shuhei * fix flake and mypy * Update autoPyTorch/pipeline/components/training/trainer/RowCutMixTrainer.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * increase threads_per_worker * fix bug in rowcutmix * Enhancement for the tabular validator. (#291) * Initial try at an enhancement for the tabular validator * Adding a few type annotations * Fixing bugs in implementation * Adding wrongly deleted code part during rebase * Fix bug in _get_args * Fix bug in _get_args * Addressing Shuhei's comments * Address Shuhei's comments * Refactoring code * Refactoring code * Typos fix and additional comments * Replace nan in categoricals with simple imputer * Remove unused function * add comment * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Adding unit test for only nall columns in the tabular feature categorical evaluator * fix bug in remove all nan columns * Bug fix for making tests run by arlind * fix flake errors in feature validator * made typing code uniform * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * address comments from shuhei * address comments from shuhei (2) Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * resolve code issues with new versions * Address comments from shuhei * make run_traditional_ml function * implement suggestion from shuhei and fix bug in rowcutmixtrainer * fix return type docstring * add better documentation and fix bug in shake_drop_get_bl * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * add test for comparator and other improvements based on PR comments * fix bug in test * [fix] Fix the condition in the raising error of all_nan_columns * [refactor] Unite name conventions of numpy array and pandas dataframe * [doc] Add the description about the tabular feature transformation * [doc] Add the description of the tabular feature transformation * address comments from arlind * address comments from arlind * change to as_tensor and address comments from arlind * correct description for functions in data module Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Arlind Kadra <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Addressing Shuhei's comments * flake8 problems fix * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Add indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Add line indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Validate if there is a column transformer since for sparse matrices we will not have one. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/utils/implementations.py Delete uncommented line. Co-authored-by: Ravin Kohli <[email protected]> * Allow the number of threads to be given by the user * Removing unnecessary argument and refactoring the attribute. * Addressing Ravin's comments * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Updating the function documentation according to the agreed style. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Providing information on the wrong method provided for shake-shake regularization. Co-authored-by: nabenabe0928 <[email protected]> * add todo for backend and accept changes from shuhei * Addressing Shuhei's and Ravin's comments * Addressing Shuhei's and Ravin's comments, bug fix * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving code readibility. Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving consistency. Co-authored-by: nabenabe0928 <[email protected]> * bug fix Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Ravin Kohli <[email protected]>
ravinkohli
added a commit
to ravinkohli/Auto-PyTorch
that referenced
this pull request
Apr 12, 2022
* Update implementation * Coding style fixes * Implementation update * Style fix * Turn weighted loss into a constant again, implementation update * Cocktail branch inconsistencies (automl#275) * To nemo * Revert change in T_curr as results conclusively prove it should be 0 * Revert cutmix change after data from run * Final conclusion after results * FIX bug in shake alpha beta * Updated if is_training condition for shake drop * Remove temp fix in row cutmic * Cocktail fixes time debug (automl#286) * preprocess inside data validator * add time debug statements * Add fixes for categorical data * add fit_ensemble * add arlind fix for swa and se * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * shuffle = False * Shake Shake updates (automl#287) * To test locally * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * To test locally * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * To test locally * shuffle = False * To test locally * updates to search space * updates to search space * update branch with search space * undo search space update * fix bug in shake shake flag * limit to shake-even * restrict to even even * Add even even and others for shake-drop also * fix bug in passing alpha beta method * restrict to only even even * fix silly bug: * remove imputer and ordinal encoder for categorical transformer in feature validator * Address comments from shuhei * fix issues with ensemble fitting post hoc * Address comments on the PR * Fix flake and mypy errors * Address comments from PR automl#286 * fix bug in embedding * Update autoPyTorch/api/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/training/trainer/base_trainer.py Co-authored-by: nabenabe0928 <[email protected]> * Address comments from shuhei * adress comments from shuhei * fix flake and mypy * Update autoPyTorch/pipeline/components/training/trainer/RowCutMixTrainer.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * increase threads_per_worker * fix bug in rowcutmix * Enhancement for the tabular validator. (automl#291) * Initial try at an enhancement for the tabular validator * Adding a few type annotations * Fixing bugs in implementation * Adding wrongly deleted code part during rebase * Fix bug in _get_args * Fix bug in _get_args * Addressing Shuhei's comments * Address Shuhei's comments * Refactoring code * Refactoring code * Typos fix and additional comments * Replace nan in categoricals with simple imputer * Remove unused function * add comment * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Adding unit test for only nall columns in the tabular feature categorical evaluator * fix bug in remove all nan columns * Bug fix for making tests run by arlind * fix flake errors in feature validator * made typing code uniform * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * address comments from shuhei * address comments from shuhei (2) Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * resolve code issues with new versions * Address comments from shuhei * make run_traditional_ml function * implement suggestion from shuhei and fix bug in rowcutmixtrainer * fix return type docstring * add better documentation and fix bug in shake_drop_get_bl * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * add test for comparator and other improvements based on PR comments * fix bug in test * [fix] Fix the condition in the raising error of all_nan_columns * [refactor] Unite name conventions of numpy array and pandas dataframe * [doc] Add the description about the tabular feature transformation * [doc] Add the description of the tabular feature transformation * address comments from arlind * address comments from arlind * change to as_tensor and address comments from arlind * correct description for functions in data module Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Arlind Kadra <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Addressing Shuhei's comments * flake8 problems fix * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Add indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Add line indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Validate if there is a column transformer since for sparse matrices we will not have one. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/utils/implementations.py Delete uncommented line. Co-authored-by: Ravin Kohli <[email protected]> * Allow the number of threads to be given by the user * Removing unnecessary argument and refactoring the attribute. * Addressing Ravin's comments * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Updating the function documentation according to the agreed style. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Providing information on the wrong method provided for shake-shake regularization. Co-authored-by: nabenabe0928 <[email protected]> * add todo for backend and accept changes from shuhei * Addressing Shuhei's and Ravin's comments * Addressing Shuhei's and Ravin's comments, bug fix * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving code readibility. Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving consistency. Co-authored-by: nabenabe0928 <[email protected]> * bug fix Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Ravin Kohli <[email protected]>
ravinkohli
added a commit
that referenced
this pull request
Jul 26, 2022
* Update implementation * Coding style fixes * Implementation update * Style fix * Turn weighted loss into a constant again, implementation update * Cocktail branch inconsistencies (#275) * To nemo * Revert change in T_curr as results conclusively prove it should be 0 * Revert cutmix change after data from run * Final conclusion after results * FIX bug in shake alpha beta * Updated if is_training condition for shake drop * Remove temp fix in row cutmic * Cocktail fixes time debug (#286) * preprocess inside data validator * add time debug statements * Add fixes for categorical data * add fit_ensemble * add arlind fix for swa and se * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * shuffle = False * Shake Shake updates (#287) * To test locally * fix bug in trainer choice fit * fix ensemble bug * Correct bug in cleanup * To test locally * Cleanup for removing time debug statements * ablation for adversarial * shuffle false in dataloader * drop last false in dataloader * fix bug for validation set, and cutout and cutmix * To test locally * shuffle = False * To test locally * updates to search space * updates to search space * update branch with search space * undo search space update * fix bug in shake shake flag * limit to shake-even * restrict to even even * Add even even and others for shake-drop also * fix bug in passing alpha beta method * restrict to only even even * fix silly bug: * remove imputer and ordinal encoder for categorical transformer in feature validator * Address comments from shuhei * fix issues with ensemble fitting post hoc * Address comments on the PR * Fix flake and mypy errors * Address comments from PR #286 * fix bug in embedding * Update autoPyTorch/api/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/datasets/base_dataset.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/training/trainer/base_trainer.py Co-authored-by: nabenabe0928 <[email protected]> * Address comments from shuhei * adress comments from shuhei * fix flake and mypy * Update autoPyTorch/pipeline/components/training/trainer/RowCutMixTrainer.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/tabular_classification.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * increase threads_per_worker * fix bug in rowcutmix * Enhancement for the tabular validator. (#291) * Initial try at an enhancement for the tabular validator * Adding a few type annotations * Fixing bugs in implementation * Adding wrongly deleted code part during rebase * Fix bug in _get_args * Fix bug in _get_args * Addressing Shuhei's comments * Address Shuhei's comments * Refactoring code * Refactoring code * Typos fix and additional comments * Replace nan in categoricals with simple imputer * Remove unused function * add comment * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Co-authored-by: nabenabe0928 <[email protected]> * Adding unit test for only nall columns in the tabular feature categorical evaluator * fix bug in remove all nan columns * Bug fix for making tests run by arlind * fix flake errors in feature validator * made typing code uniform * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * address comments from shuhei * address comments from shuhei (2) Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * resolve code issues with new versions * Address comments from shuhei * make run_traditional_ml function * implement suggestion from shuhei and fix bug in rowcutmixtrainer * fix return type docstring * add better documentation and fix bug in shake_drop_get_bl * Apply suggestions from code review Co-authored-by: nabenabe0928 <[email protected]> * add test for comparator and other improvements based on PR comments * fix bug in test * [fix] Fix the condition in the raising error of all_nan_columns * [refactor] Unite name conventions of numpy array and pandas dataframe * [doc] Add the description about the tabular feature transformation * [doc] Add the description of the tabular feature transformation * address comments from arlind * address comments from arlind * change to as_tensor and address comments from arlind * correct description for functions in data module Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Arlind Kadra <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> * Addressing Shuhei's comments * flake8 problems fix * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/api/base_task.py Add indent. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Add indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Add line indentation. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/data/tabular_feature_validator.py Validate if there is a column transformer since for sparse matrices we will not have one. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/utils/implementations.py Delete uncommented line. Co-authored-by: Ravin Kohli <[email protected]> * Allow the number of threads to be given by the user * Removing unnecessary argument and refactoring the attribute. * Addressing Ravin's comments * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Updating the function documentation according to the agreed style. Co-authored-by: Ravin Kohli <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/utils.py Providing information on the wrong method provided for shake-shake regularization. Co-authored-by: nabenabe0928 <[email protected]> * add todo for backend and accept changes from shuhei * Addressing Shuhei's and Ravin's comments * Addressing Shuhei's and Ravin's comments, bug fix * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving code readibility. Co-authored-by: nabenabe0928 <[email protected]> * Update autoPyTorch/pipeline/components/setup/network_backbone/ResNetBackbone.py Improving consistency. Co-authored-by: nabenabe0928 <[email protected]> * bug fix Co-authored-by: Ravin Kohli <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: nabenabe0928 <[email protected]> Co-authored-by: Ravin Kohli <[email protected]>
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