Cocktail fixes time debug #286

ravinkohli · 2021-08-04T09:30:38Z

This PR addresses the time issue faced by the library where the data is being preprocessed for every batch which is taking an exceptionally long time for larger datasets.
Additionally, I have moved the code from PR #260 and closed that PR as we needed the code for one of our experiments. I have verified the functionality as well as added an example of how to use this functionality.
This PR also updates the torch type usage that caused errors when using torch> 1.8.

…Torch into cocktail_fixes_time_debug

nabenabe0928

Thank you for the PR, I added some comments.

autoPyTorch/api/base_task.py

autoPyTorch/utils/backend.py

autoPyTorch/pipeline/components/training/trainer/RowCutOutTrainer.py

autoPyTorch/pipeline/components/training/trainer/AdversarialTrainer.py

autoPyTorch/pipeline/components/training/data_loader/base_data_loader.py

autoPyTorch/pipeline/components/setup/network_embedding/base_network_embedding.py

autoPyTorch/pipeline/components/preprocessing/tabular_preprocessing/TabularColumnTransformer.py

autoPyTorch/data/tabular_feature_validator.py

ArlindKadra

To be continued.

autoPyTorch/pipeline/components/training/trainer/base_trainer_choice.py

autoPyTorch/utils/backend.py

requirements.txt

autoPyTorch/api/base_task.py

autoPyTorch/data/tabular_feature_validator.py

* 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

autoPyTorch/utils/backend.py

nabenabe0928

I checked some of the changes and will post the rest later.

autoPyTorch/api/tabular_classification.py

autoPyTorch/api/tabular_regression.py

autoPyTorch/datasets/base_dataset.py

autoPyTorch/pipeline/base_pipeline.py

autoPyTorch/pipeline/components/training/trainer/RowCutOutTrainer.py

autoPyTorch/pipeline/components/training/trainer/base_trainer.py

autoPyTorch/pipeline/components/training/trainer/RowCutMixTrainer.py

autoPyTorch/pipeline/components/setup/network_embedding/base_network_embedding.py

Co-authored-by: nabenabe0928 <[email protected]>

autoPyTorch/pipeline/base_pipeline.py

test/test_data/test_feature_validator.py

ArlindKadra

Thank you for the review, I left a few minor comments but overall looks very nice :)

autoPyTorch/api/base_task.py

ArlindKadra · 2021-10-19T20:38:18Z

autoPyTorch/data/tabular_feature_validator.py

+
+def get_tabular_preprocessors() -> Dict[str, List[BaseEstimator]]:
+    """
+    This function creates a Dictionary containing list


a list and since you will edit the documentation also an enter before the return.

isnt there a line break before the return? Do you want 2? I'll fix the documentation though.

I meant there is usually a line between the function description and the arguments or the return. This one does not have a line break, neither the function before. Also the documentation naming of args and returns is not consistent, could you patch that up really fast ?

autoPyTorch/data/tabular_feature_validator.py

autoPyTorch/pipeline/components/setup/network_backbone/utils.py

* 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]>

* 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]>

* 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 15 commits August 3, 2021 18:35

preprocess inside data validator

eade387

add time debug statements

b76b05e

Add fixes for categorical data

bbf9b07

add fit_ensemble

99d7407

add arlind fix for swa and se

8144774

fix bug in trainer choice fit

06ad658

fix ensemble bug

1942279

Correct bug in cleanup

2dc8850

Cleanup for removing time debug statements

06d80d4

ablation for adversarial

d8b553a

Merge branch 'cocktail_fixes_time_debug' of github.com:automl/Auto-Py…

062de69

…Torch into cocktail_fixes_time_debug

shuffle false in dataloader

34712b3

drop last false in dataloader

49f40dc

fix bug for validation set, and cutout and cutmix

f4ea158

shuffle = False

209a4e8

nabenabe0928 reviewed Sep 24, 2021

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ArlindKadra reviewed Sep 29, 2021

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ravinkohli and others added 3 commits September 30, 2021 16:06

fix issues with ensemble fitting post hoc

064e4a9

Address comments on the PR

ed48dab

ravinkohli changed the base branch from cocktail_fixes to refactor_development_regularization_cocktails September 30, 2021 17:21

ravinkohli changed the base branch from refactor_development_regularization_cocktails to cocktail_fixes September 30, 2021 17:22

Fix flake and mypy errors

9cdfb64

ArlindKadra reviewed Oct 1, 2021

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nabenabe0928 reviewed Oct 4, 2021

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ravinkohli and others added 4 commits October 4, 2021 12:19

Address comments from PR #286

6bd4300

fix bug in embedding

9c0c47b

Update autoPyTorch/api/tabular_classification.py

e838004

Co-authored-by: nabenabe0928 <[email protected]>

Update autoPyTorch/datasets/base_dataset.py

893a15d

Co-authored-by: nabenabe0928 <[email protected]>

nabenabe0928 force-pushed the cocktail_fixes_time_debug branch from d7a23b0 to 57111e9 Compare October 12, 2021 12:31

nabenabe0928 reviewed Oct 12, 2021

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nabenabe0928 added 4 commits October 12, 2021 19:49

[fix] Fix the condition in the raising error of all_nan_columns

153878f

[refactor] Unite name conventions of numpy array and pandas dataframe

64862fe

[doc] Add the description about the tabular feature transformation

410c7fe

[doc] Add the description of the tabular feature transformation

baa7ab8

nabenabe0928 approved these changes Oct 13, 2021

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ArlindKadra reviewed Oct 19, 2021

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ArlindKadra mentioned this pull request Oct 19, 2021

Bug fixes #249

Merged

ravinkohli added 3 commits October 20, 2021 11:31

address comments from arlind

e1eb854

address comments from arlind

4545fdb

change to as_tensor and address comments from arlind

8519a48

ArlindKadra approved these changes Oct 20, 2021

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correct description for functions in data module

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ravinkohli merged commit 23466f0 into cocktail_fixes Oct 20, 2021

ravinkohli deleted the cocktail_fixes_time_debug branch October 20, 2021 10:09

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Cocktail fixes time debug #286

Cocktail fixes time debug #286

ravinkohli commented Aug 4, 2021 •

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Cocktail fixes time debug #286

Cocktail fixes time debug #286

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ravinkohli commented Aug 4, 2021 • edited Loading

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ravinkohli commented Aug 4, 2021 •

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