New metric classes #1326

justusschock · 2020-04-01T14:57:30Z

Before submitting

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Did you write any new necessary tests?
If you made a notable change (that affects users), did you update the CHANGELOG?

What does this PR do?

This PR adds more convenient base classes for metric implementation
Fixes #1294 and is a major rework of #1293

PR review

Anyone in the community is free to review the PR once the tests have passed.
If we didn't discuss your PR in Github issues there's a high chance it will not be merged.

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Make sure you had fun coding 🙃

codecov · 2020-04-01T15:02:25Z

Codecov Report

Merging #1326 into metrics will increase coverage by <1%.
The diff coverage is n/a.

@@           Coverage Diff            @@
##           metrics   #1326    +/-   ##
========================================
+ Coverage       92%     92%   +<1%     
========================================
  Files           63      62     -1     
  Lines         3314    3188   -126     
========================================
- Hits          3035    2920   -115     
+ Misses         279     268    -11

justusschock · 2020-04-01T15:08:20Z

Apparently, there are some tests to fix :) I will do this tomorrow. A review on the code itself ad the general structure is still appreciated.

Borda

I do not understand what is the reason/advantage or wrapping functions like cpu(), 'cuda()', to() when it just call the lower level (parent) function...

pytorch_lightning/metrics/metric.py

justusschock · 2020-04-01T18:44:27Z

@Borda the benefit from these wrappings is that we have the device and dtype, the resulting tensors have to be on even if we switch to numpy for intermediate steps.
Without these wrappings we would have to register a scalar buffer to get these, which is not very clean.

justusschock · 2020-04-02T14:31:41Z

@Borda Any idea, why the doc building fails?

pytorch_lightning/metrics/metric.py

pytorch_lightning/metrics/utils.py

tests/metrics/__init__.py

Borda

I like this VERY much ❤️
pls see some of mine friendly comments, note that none of then are serious 🙄

pytorch_lightning/metrics/convertors.py

pytorch_lightning/metrics/metric.py

tests/metrics/convertors.py

tests/utilities/test_apply_to_collection.py

pep8speaks · 2020-04-03T07:50:45Z

Hello @justusschock! Thanks for updating this PR.

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2020-04-03 14:39:01 UTC

pytorch_lightning/metrics/metric.py

tullie

Just a few comments, but pretty much ready so accepting :)

pytorch_lightning/metrics/convertors.py

pytorch_lightning/utilities/apply_func.py

pytorch_lightning/metrics/convertors.py

Borda · 2020-04-03T13:07:35Z

just rebased to have all testing faster...

justusschock · 2020-04-06T22:29:03Z

cc @Darktex

* New metric classes (#1326) * Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * move dtype device mixin to more general place * refactor to general device dtype mixin * add initial metric package description * change default to none for mac os * pep8 * fix import * Update index.rst * Update ci-testing.yml * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md * Update pytorch_lightning/metrics/converters.py * readme * Update metric.py * Update pytorch_lightning/metrics/converters.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai>

* Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* Create utils.py * Create __init__.py * redo sklearn metrics * add some more metrics * add sklearn metrics * Create __init__.py * redo sklearn metrics * New metric classes (#1326) * Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * add sklearn metrics * start adding sklearn tests * fix typo * return x and y only for curves * fix typo * add missing tests for sklearn funcs * imports * __all__ * imports * fix sklearn arguments * fix imports * update requirements * Update CHANGELOG.md * Update test_sklearn_metrics.py * formatting * formatting * format * fix all warnings and formatting problems * Update environment.yml * Update requirements-extra.txt * Update environment.yml * Update requirements-extra.txt * fix all warnings and formatting problems * Update CHANGELOG.md * docs * inherit * docs inherit. * docs * Apply suggestions from code review Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * docs * req * min * Apply suggestions from code review Co-authored-by: Tullie Murrell <tulliemurrell@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Tullie Murrell <tulliemurrell@gmail.com>

* Create utils.py * Create __init__.py * redo sklearn metrics * add some more metrics * add sklearn metrics * Create __init__.py * redo sklearn metrics * New metric classes (#1326) * Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * add sklearn metrics * start adding sklearn tests * fix typo * return x and y only for curves * fix typo * add missing tests for sklearn funcs * imports * __all__ * imports * fix sklearn arguments * fix imports * update requirements * Update CHANGELOG.md * Update test_sklearn_metrics.py * formatting * formatting * format * fix all warnings and formatting problems * Update environment.yml * Update requirements-extra.txt * Update environment.yml * Update requirements-extra.txt * fix all warnings and formatting problems * Update CHANGELOG.md * docs * inherit * docs inherit. * docs * Apply suggestions from code review Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * docs * req * min * Apply suggestions from code review Co-authored-by: Tullie Murrell <tulliemurrell@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Tullie Murrell <tulliemurrell@gmail.com> (cherry picked from commit bd49b07)

* Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* Create metric.py * Create utils.py * Create __init__.py * Create __init__.py * Create __init__.py * add tests for metric utils * add tests for metric utils * add docstrings for metrics utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add function to recursively apply other function to collection * add tests for this function * add tests for this function * add tests for this function * update test * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * fix tests * add metric tests * fix to tensor conversion * fix to tensor conversion * fix apply to collection * fix apply to collection * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * remove tests from init * add missing type annotations * rename utils to convertors * rename utils to convertors * rename utils to convertors * rename utils to convertors * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * rename file and fix imports * added parametrized test * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * rename apply_to_collection to apply_func * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * Add requested changes and add ellipsis for doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * forgot to push these files... * forgot to push these files... * add explicit check for dtype to convert to * add explicit check for dtype to convert to * fix ddp tests * fix ddp tests * fix ddp tests * remove explicit ddp destruction * remove explicit ddp destruction * New metric classes (#1326) * Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * add function to reduce tensors (similar to reduction in torch.nn) * add functionals of reduction metrics * add functionals of reduction metrics * add more metrics * pep8 fixes * rename * rename * add reduction tests * add first classification tests * bugfixes * bugfixes * add more unit tests * fix roc score metric * fix tests * solve tests * fix docs * Update CHANGELOG.md * remove binaries * solve changes from rebase * add eos * test auc independently * fix formatting * docs * docs * chlog * move * function descriptions * Add documentation to native metrics (#2144) * add docs * add docs * Apply suggestions from code review * formatting * add docs Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> * Rename tests/metrics/test_classification.py to tests/metrics/functional/test_classification.py * Rename tests/metrics/test_reduction.py to tests/metrics/functional/test_reduction.py * Add module interface for classification metrics * add basic tests for classification metrics' module interface * pep8 * add additional converters * add additional base class * change baseclass for some metrics * update classification tests * update converter tests * update metric tests * Apply suggestions from code review * tests-params * tests-params * imports * pep8 * tests-params * formatting * fix test_metrics * typo * formatting * fix dice tests * fix decorator order * fix tests * seed * dice test * formatting * try freeze test * formatting * fix tests * try spawn * formatting * fix Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz> Co-authored-by: Xavier Sumba <c.uent@hotmail.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Nicki Skafte <nugginea@gmail.com>

* Create utils.py * Create __init__.py * redo sklearn metrics * add some more metrics * add sklearn metrics * Create __init__.py * redo sklearn metrics * New metric classes (#1326) * Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * add sklearn metrics * start adding sklearn tests * fix typo * return x and y only for curves * fix typo * add missing tests for sklearn funcs * imports * __all__ * imports * fix sklearn arguments * fix imports * update requirements * Update CHANGELOG.md * Update test_sklearn_metrics.py * formatting * formatting * format * fix all warnings and formatting problems * Update environment.yml * Update requirements-extra.txt * Update environment.yml * Update requirements-extra.txt * fix all warnings and formatting problems * Update CHANGELOG.md * docs * inherit * docs inherit. * docs * Apply suggestions from code review Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * docs * req * min * Apply suggestions from code review Co-authored-by: Tullie Murrell <tulliemurrell@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Tullie Murrell <tulliemurrell@gmail.com>

justusschock added the feature Is an improvement or enhancement label Apr 1, 2020

justusschock requested review from williamFalcon, Borda, ethanwharris and jeremyjordan April 1, 2020 14:57

justusschock self-assigned this Apr 1, 2020

mergify bot requested a review from a team April 1, 2020 14:57

justusschock mentioned this pull request Apr 1, 2020

Add Base class for metrics #1293

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justusschock changed the base branch from master to metrics April 1, 2020 14:58

justusschock mentioned this pull request Apr 1, 2020

Rework of Sklearn Metrics #1327

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Borda reviewed Apr 1, 2020

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justusschock added 4 commits April 3, 2020 15:06

remove gpu from doctest

b6e8ce4

Add requested changes and add ellipsis for doctest

6d212e4

forgot to push these files...

b0739e1

add explicit check for dtype to convert to

a70513b

Borda force-pushed the new_metric_classes branch from 140004a to a70513b Compare April 3, 2020 13:07

justusschock added 2 commits April 3, 2020 16:38

fix ddp tests

507b6f9

remove explicit ddp destruction

79f0731

williamFalcon merged commit 4c6c4e0 into metrics Apr 3, 2020

Borda deleted the new_metric_classes branch April 3, 2020 20:06

justusschock mentioned this pull request May 19, 2020

New metric classes (#1326) #1877

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Borda mentioned this pull request May 26, 2020

[Discussion] There should be a Metrics package #973

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New metric classes #1326

New metric classes #1326

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New metric classes #1326

New metric classes #1326

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