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More sklearn-compatible algorithms#318

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hoffmansc merged 88 commits intomasterTrusted-AI/AIF360:masterfrom sklearn-compatTrusted-AI/AIF360:sklearn-compatCopy head branch name to clipboardJul 1, 2022

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Commits on Dec 19, 2019

• Initial sklearn-compatible datasets and metrics

  

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• added initial dataset tests

  

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• fixed to_list for older pandas versions

  

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• added metrics tests

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• added README and docs

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• simpler dataset loading and 'groups' for metrics

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• fixes to categoricals

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• fixes for tests, updated README

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• added travis badge to README

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• updated todo with external blockers

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• added reweighing workaround to example

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• added Reweighing algorithm

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• clean up comments

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• fixed package version in docs

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• adding hyperlinks to SLEPs

  

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• added binary_age opt to german; fixed NAs in bank

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• modified onehot_transformer to return DataFrame

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• tweaks to reweighing to conform with sklearn

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• updated README

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• fixed docstring formatting

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• changed metrics to use prot_attr

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• added __all__ to __init__s

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• updated notebook with reweighing example

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• initial adversarial debiasing port

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• multiclass/multigroup support for adv debiasing

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• fix build errors

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• Add ensure_binary option to check_groups

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• numeric_only converts index and label as well

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• changed Reweighing to return X, sample_weight

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• made sample_weight optional in check_inputs

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• matched tests to new numeric dataset format

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• added generalized_fnr/fpr metrics

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• fixed dataset_processing

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• initial calibrated equalized odds port

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• fixed adversarial debiasing reproducibility

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• updated Getting Started notebook

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• updated readme

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• fixed tests and added additional tests

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• added COMPAS and other dataset fixes* fixed german dataset to match paper* added ColumnAlreadyDroppedWarnings in standardize_dataset* added compas test and fixed old tests to match new drop warnings

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• fix more edge cases in metrics

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• removed unused import

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• make cache dir if necessary

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• docstring, formatting, and typo fixes

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• more gitignores

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• docstrings and add alpha=sqrt(global_step) option

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• docstrings and input is now predict_proba output

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• moved tests to main test folder

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• more docs and formatting changes

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• postprocessor takes DataFrame if use_proba

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• readme changes overwritten in the merge

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• train, test were swapped for adult

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• remove branch mentions

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Commits on Dec 20, 2019

• remove "attributes" line if none present

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Commits on Dec 28, 2019

• moved example to main folder

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Commits on Jan 31, 2020

• use_proba -> needs_proba

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Commits on Feb 5, 2020

• fixed/renamed/reordered/added some attributes

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Commits on Feb 6, 2020

• fixed sample_weight=None bug and classes_ typo

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• improved specificity_score and added fpr/fnr error

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• made foreign_worker and education (bank) ordered

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Commits on Feb 19, 2020

• various fixes to address PR comments

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• added comments to tests

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Commits on Apr 22, 2020

• initial ROC and LFR + other WIP

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Commits on Jun 3, 2020

• Merge branch 'master' into sklearn-compat

  

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Commits on Jun 18, 2020

• Merge branch 'sklearn-compat' of https://github.com/IBM/AIF360 into sklearn-compat

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• Merge branch 'master' into sklearn-compat

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Commits on Jul 27, 2020

• allow prot_attr/target input to be Series

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• default to predict if no predict_proba

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• Merge branch 'master' into sklearn-compat

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Commits on Jul 31, 2020

• matches old lfr

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Commits on Aug 5, 2020

• use pytorch to calculate grad

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Commits on Jan 15, 2021

• standardize defaults in metaestimators

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Commits on Jun 21, 2022

• clean up tests

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• ROC improvements

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• minor tweaks

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• Merge branch 'master' into sklearn-compat

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Commits on Jun 27, 2022

• infer proba behavior from estimator tag

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• rename LFR

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• use scores instead of costs (higher is better)

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• fix test imports

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• add new algorithms to docs

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• suppress zero division warnings

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• new notebooks

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• adjust tests

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Commits on Jun 28, 2022

• small fixes

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• fix tests

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Commits on Jul 1, 2022

• additional checks and errors

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• add note to notebook

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• propagate classes_ in metaestimators

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