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scikit-learn-compatible API #134

Merged
merged 61 commits into from
Feb 19, 2020
Merged

scikit-learn-compatible API #134

merged 61 commits into from
Feb 19, 2020

Commits on Dec 19, 2019

  1. Initial sklearn-compatible datasets and metrics

    @hoffmansc
    Samuel Hoffman authored and hoffmansc committed Dec 19, 2019
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  2. added initial dataset tests

    @hoffmansc
    Samuel Hoffman authored and hoffmansc committed Dec 19, 2019
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  3. fixed to_list for older pandas versions

    @hoffmansc
    Samuel Hoffman authored and hoffmansc committed Dec 19, 2019
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  4. added metrics tests

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  5. added README and docs

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    hoffmansc committed Dec 19, 2019
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  6. simpler dataset loading and 'groups' for metrics 

    * dataset loading is more similar to sklearn.datasets
* label binarization is now done outside standardize_dataset
* metrics use 'groups' and 'priv_group' to signify priv/unpriv split
    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  7. fixes to categoricals

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  8. fixes for tests, updated README

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  9. added travis badge to README

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  10. updated todo with external blockers

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  11. added reweighing workaround to example

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    hoffmansc committed Dec 19, 2019
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  12. added Reweighing algorithm

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  13. clean up comments

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    hoffmansc committed Dec 19, 2019
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  14. fixed package version in docs

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    hoffmansc committed Dec 19, 2019
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  15. adding hyperlinks to SLEPs

    @animeshsingh @hoffmansc
    animeshsingh authored and hoffmansc committed Dec 19, 2019
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  16. added binary_age opt to german; fixed NAs in bank

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  17. modified onehot_transformer to return DataFrame

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  18. tweaks to reweighing to conform with sklearn

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  19. updated README

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    hoffmansc committed Dec 19, 2019
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  20. fixed docstring formatting

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    hoffmansc committed Dec 19, 2019
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  21. changed metrics to use prot_attr

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    hoffmansc committed Dec 19, 2019
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  22. added __all__ to __init__s

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    hoffmansc committed Dec 19, 2019
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  23. updated notebook with reweighing example

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  24. initial adversarial debiasing port

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    hoffmansc committed Dec 19, 2019
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  25. multiclass/multigroup support for adv debiasing

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    hoffmansc committed Dec 19, 2019
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  26. fix build errors

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    hoffmansc committed Dec 19, 2019
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  27. Add ensure_binary option to check_groups

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    hoffmansc committed Dec 19, 2019
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  28. numeric_only converts index and label as well

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    hoffmansc committed Dec 19, 2019
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  29. changed Reweighing to return X, sample_weight 

    removed Reweighing.sample_weight_ attribute
    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  30. made sample_weight optional in check_inputs

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  31. matched tests to new numeric dataset format

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  32. added generalized_fnr/fpr metrics 

    also added warning when dividing by zero in ratio
    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  33. fixed dataset_processing 

    changed bank dataset target to return bool
    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  34. initial calibrated equalized odds port 

    bug fix in old implementation (weighted cost was calculated incorrectly)
    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  35. fixed adversarial debiasing reproducibility

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  36. updated Getting Started notebook

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  37. updated readme

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    hoffmansc committed Dec 19, 2019
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  38. fixed tests and added additional tests

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  39. added COMPAS and other dataset fixes* fixed german dataset to match p… 

    …aper* added ColumnAlreadyDroppedWarnings in standardize_dataset* added compas test and fixed old tests to match new drop warnings
    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  40. fix more edge cases in metrics

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  41. removed unused import

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  42. make cache dir if necessary

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  43. docstring, formatting, and typo fixes

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  44. more gitignores

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  45. docstrings and add alpha=sqrt(global_step) option

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  46. docstrings and input is now predict_proba output 

    also added score function (compute weighted cost)
    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  47. moved tests to main test folder

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  48. more docs and formatting changes

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  49. postprocessor takes DataFrame if use_proba 

    added additional tests to check this
    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  50. readme changes overwritten in the merge

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  51. train, test were swapped for adult

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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  52. remove branch mentions

    @hoffmansc
    hoffmansc committed Dec 19, 2019
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Commits on Dec 20, 2019

  1. remove "attributes" line if none present

    @hoffmansc
    hoffmansc committed Dec 20, 2019
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Commits on Dec 28, 2019

  1. moved example to main folder

    @hoffmansc
    hoffmansc committed Dec 28, 2019
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Commits on Jan 31, 2020

  1. use_proba -> needs_proba

    @hoffmansc
    hoffmansc committed Jan 31, 2020
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Commits on Feb 5, 2020

  1. fixed/renamed/reordered/added some attributes 

    * fixed German 'age' from being dropped
* renamed two_year_recid labels to 'Survived' and 'Recidivated' to match ProPublica article
* reordered COMPAS categories to 'Male' < 'Female'
* added 'foreign_worker' protected attribute for German
    @hoffmansc
    hoffmansc committed Feb 5, 2020
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Commits on Feb 6, 2020

  1. fixed sample_weight=None bug and classes_ typo

    @hoffmansc
    hoffmansc committed Feb 6, 2020
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  2. improved specificity_score and added fpr/fnr error

    @hoffmansc
    hoffmansc committed Feb 6, 2020
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  3. made foreign_worker and education (bank) ordered

    @hoffmansc
    hoffmansc committed Feb 6, 2020
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Commits on Feb 19, 2020

  1. various fixes to address PR comments 

    * added one-hot encoding example and random_states to demo notebook
* added 'prefit' option to PostProcessingMeta
* multiple fixes to docstring wordings
* added additional links/disclaimers in docstrings
* renamed CalibratedEqualizedOdds args to X and y
    @hoffmansc
    hoffmansc committed Feb 19, 2020
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  2. added comments to tests

    @hoffmansc
    hoffmansc committed Feb 19, 2020
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