a74909affa
prune metrics: info retrieval ( #6649 )
2021-03-23 15:05:32 +00:00
b341b53f70
deprecate metrics pkg ( #6505 )
...
* deprecate metrics
* examples
* req
* docs
* Apply suggestions from code review
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* pep8
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2021-03-15 14:39:38 +00:00
5d73fbbd81
Mean Average Precision metric for Information Retrieval (1/5) ( #5032 )
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* init information retrieval metrics
* changed retrieval metrics names, expanded arguments and fixed typo
* added 'Retrieval' prefix to metrics and fixed conflict with already-present 'average_precision' file
* improved code formatting
* pep8 code compatibility
* features/implemented new Mean Average Precision metrics for Information Retrieval + doc
* fixed pep8 compatibility
* removed threshold parameter and fixed typo on types in RetrievalMAP and improved doc
* improved doc, put first class-specific args in RetrievalMetric and transformed RetrievalMetric in abstract class
* implemented tests for functional and class metric. fixed typo when input tensors are empty or when all targets are False
* fixed typos in doc and changed torch.true_divide to torch.div
* fixed typos pep8 compatibility
* fixed types in long division in ir_average_precision and example in mean_average_precision
* RetrievalMetric states are not lists and _metric method accepts predictions and targets for easier extension
* updated CHANGELOG file
* added '# noqa: F401' flag to not used imports
* added double space before '# noqa: F401' flag
* Update CHANGELOG.md
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* change get_mini_groups in get_group_indexes
* added checks on target inputs
* minor refactoring for code cleanness
* split tests over exception raising in separate function && refactored test code into multiple functions
* fixed pep8 compatibility
* implemented suggestions of @SkafteNicki
* fixed imports for isort and added types annontations to functions in test_map.py
* isort on test_map and fixed typing
* isort on retrieval and on __init__.py and utils.py in metrics package
* fixed typo in pytorch_lightning/metrics/__init__.py regarding code style
* fixed yapf compatibility
* fixed yapf compatibility
* fixed typo in doc
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-03-15 12:18:43 +01:00
221c4a0ba2
[Metrics] AUC/AUROC class interface ( #5479 )
...
* base files
* auc done
* init files
* auc class interface
* fixing auc
* more fixes
* working auroc
* update auc
* add docs
* remove leftovers from merge
* suggestions
* fix f-string
* Apply suggestions from code review
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* add deprecated tests
* make logic clearer
* Update pytorch_lightning/metrics/classification/auroc.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* fix
* fix
* fix docs
* fix isort
* fix deprecated test
* fix tests
* fix tests
* fix isort
* Apply suggestions from code review
* add enum
* deprecate old impl
* update from suggestions
* chlog
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-01-27 08:16:54 -05:00
61e1d8772d
Fix isort failures in metrics ( #5528 )
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Remove from skipped module in pyproject.toml and fix failures on:
- pytorch_lightning/metrics/*.py
2021-01-18 07:10:53 -05:00
3ee1b55bf1
Reformat iou [func] and add IoU class ( #4704 )
...
* added Iou
* Create iou.py
* Update iou.py
* Update iou.py
* Update CHANGELOG.md
* Update metrics.rst
* Update iou.py
* Update iou.py
* Update __init__.py
* Update iou.py
* Update iou.py
* Update classification.py
* Update classification.py
* Update classification.py
* Update __init__.py
* Update __init__.py
* Update iou.py
* Update classification.py
* Update metrics.rst
* Update CHANGELOG.md
* Update CHANGELOG.md
* add iou
* add test
* add test
* removed iou
* add iou
* add iou test
* add float
* reformat test_iou
* removed test_iou
* updated format
* updated format
* Update CHANGELOG.md
* updated format
* Update metrics.rst
* Apply suggestions from code review
merge suggestions
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* added equations
* reformat init
* change format
* change format
* deprecate iou and test for this
* fix changelog
* delete iou test in test_classification
* format change
* format change
* format
* format
* format
* delete white space
* delete white space
* fix tests
* 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>
* better deprecation
* fix docs
* Apply suggestions from code review
* fix todo
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-01-08 13:36:08 +00:00
06668c0ddf
[Metrics] MetricCollection ( #4318 )
...
* docs + precision + recall + f_beta + refactor
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* rebase
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* fixes
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* added missing file
* docs
* docs
* extra import
* add metric collection
* add docs + integration with log_dict
* add test
* update
* update
* more test
* more test
* pep8
* fix doctest
* pep8
* add clone method
* add clone method
* merge-2
* changelog
* kwargs filtering and tests
* pep8
* fix test
* update docs
* Update docs/source/metrics.rst
Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
* fix docs
* fix tests
* Apply suggestions from code review
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* fix docs
* fix doctest
* fix doctest
* fix doctest
* fix doctest
Co-authored-by: ananyahjha93 <ananya@pytorchlightning.ai>
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Nicki Skafte <nugginea@gmail.com>
Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-01-08 11:09:07 +01:00
9dbdffca1e
[Metrics] R2Score ( #5241 )
...
* add r2metric
* change init
* add test
* add docs
* add math
* Apply suggestions from code review
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* changelog
* adjusted parameter
* add more test
* pep8
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* add warnings for adjusted score
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-01-01 12:23:19 +01:00
7f71ee9265
Classification metrics overhaul: stat scores (3/n) ( #4839 )
...
* Add stuff
* Change metrics documentation layout
* Add stuff
* Add stat scores
* Change testing utils
* Replace len(*.shape) with *.ndim
* More descriptive error message for input formatting
* Replace movedim with permute
* PEP 8 compliance
* WIP
* Add reduce_scores function
* Temporarily add back legacy class_reduce
* Division with float
* PEP 8 compliance
* Remove precision recall
* Replace movedim with permute
* Add back tests
* Add empty newlines
* Add empty line
* Fix permute
* Fix some issues with old versions of PyTorch
* Style changes in error messages
* More error message style improvements
* Fix typo in docs
* Add more descriptive variable names in utils
* Change internal var names
* Break down error checking for inputs into separate functions
* Remove the (N, ..., C) option in MD-MC
* Simplify select_topk
* Remove detach for inputs
* Fix typos
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update docs/source/metrics.rst
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Minor error message changes
* Update pytorch_lightning/metrics/utils.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Reuse case from validation in formatting
* Refactor code in _input_format_classification
* Small improvements
* PEP 8
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update docs/source/metrics.rst
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Alphabetical reordering of regression metrics
* Change default value of top_k and add error checking
* Extract basic validation into separate function
* Update to new top_k default
* Update desciption of parameters in input formatting
* Apply suggestions from code review
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Check that probabilities in preds sum to 1 (for MC)
* Fix coverage
* Split accuracy and hamming loss
* Remove old redundant accuracy
* Minor changes
* Fix imports
* Improve docstring descriptions
* Fix imports
* Fix edge case and simplify testing
* Fix docs
* PEP8
* Reorder imports
* Add top_k parameter
* Update changelog
* Update docstring
* Update docstring
* Reverse formatting changes for tests
* Change parameter order
* Remove formatting changes 2/2
* Remove formatting 3/3
* .
* Improve description of top_k parameter
* Apply suggestions from code review
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Remove unneeded assert
* Update pytorch_lightning/metrics/functional/accuracy.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Remove unneeded assert
* Explicit checking of parameter values
* Apply suggestions from code review
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Apply suggestions from code review
* Fix top_k checking
* PEP8
* Don't check dist_sync in test
* add back check_dist_sync_on_step
* Make sure half-precision inputs are transformed (#5013 )
* Fix typo
* Rename hamming loss to hamming distance
* Fix tests for half precision
* Fix docs underline length
* Fix doc undeline length
* Replace mdmc_accuracy parameter with subset_accuracy
* Update changelog
* Fix unwanted accuracy change
* Enable top_k for ML prob inputs
* Test that default threshold is 0.5
* Fix typo
* Update top_k description in helpers
* updates
* Update styling and add back tests
* Remove excess spaces
* fix torch.where for old versions
* fix linting
* Update docstring
* Fix docstring
* Apply suggestions from code review (mostly docs)
* Default threshold to None, accept only (0,1)
* Change wrong threshold message
* Improve documentation and add tests
* Add back ddp tests
* Change stat reduce method and default
* Remove DDP tests and fix doctests
* Fix doctest
* Update changelog
* Refactoring
* Fix typo
* Refactor
* Increase coverage
* Fix linting
* Consistent use of backticks
* Fix too long line in docs
* Apply suggestions from code review
* Fix deprecation test
* Fix deprecation test
* Default threshold back to 0.5
* Minor documentation fixes
* Add types to tests
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
2020-12-30 20:49:50 +01:00
ccffc344ca
Classification metrics overhaul: accuracy metrics (2/n) ( #4838 )
...
* Add stuff
* Change metrics documentation layout
* Add stuff
* Change testing utils
* Replace len(*.shape) with *.ndim
* More descriptive error message for input formatting
* Replace movedim with permute
* PEP 8 compliance
* Division with float
* Style changes in error messages
* More error message style improvements
* Fix typo in docs
* Add more descriptive variable names in utils
* Change internal var names
* Break down error checking for inputs into separate functions
* Remove the (N, ..., C) option in MD-MC
* Simplify select_topk
* Remove detach for inputs
* Fix typos
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update docs/source/metrics.rst
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Minor error message changes
* Update pytorch_lightning/metrics/utils.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Reuse case from validation in formatting
* Refactor code in _input_format_classification
* Small improvements
* PEP 8
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update docs/source/metrics.rst
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update pytorch_lightning/metrics/classification/utils.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Alphabetical reordering of regression metrics
* Change default value of top_k and add error checking
* Extract basic validation into separate function
* Update to new top_k default
* Update desciption of parameters in input formatting
* Apply suggestions from code review
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Check that probabilities in preds sum to 1 (for MC)
* Fix coverage
* Split accuracy and hamming loss
* Remove old redundant accuracy
* Minor changes
* Fix imports
* Improve docstring descriptions
* Fix edge case and simplify testing
* Fix docs
* PEP8
* Reorder imports
* Update changelog
* Update docstring
* Update docstring
* Reverse formatting changes for tests
* Change parameter order
* Remove formatting changes 2/2
* Remove formatting 3/3
* .
* Improve description of top_k parameter
* Apply suggestions from code review
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Remove unneeded assert
* Update pytorch_lightning/metrics/functional/accuracy.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Remove unneeded assert
* Explicit checking of parameter values
* Apply suggestions from code review
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Apply suggestions from code review
* Fix top_k checking
* PEP8
* Don't check dist_sync in test
* add back check_dist_sync_on_step
* Make sure half-precision inputs are transformed (#5013 )
* Fix typo
* Rename hamming loss to hamming distance
* Fix tests for half precision
* Fix docs underline length
* Fix doc undeline length
* Replace mdmc_accuracy parameter with subset_accuracy
* Update changelog
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Suggestions from code review
* Fix number in docs
* Update pytorch_lightning/metrics/classification/accuracy.py
* Replace topk by argsort in select_topk
* Fix changelog
* Add test for wrong params
* Add Google Colab badges (#5111 )
* Add colab badges to notebook
Add colab badges to notebook to notebooks 4 & 5
* Add colab badges
Co-authored-by: chaton <thomas@grid.ai>
* Fix hanging metrics tests (#5134 )
* Use torch.topk again as ddp hanging tests fixed in #5134
* Fix unwanted notebooks change
* Fix too long line in hamming_distance
* Apply suggestions from code review
* Apply suggestions from code review
* protect
* Update CHANGELOG.md
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
Co-authored-by: Shachar Mirkin <shacharmirkin@gmail.com>
2020-12-21 16:42:51 +01:00
0f36525e8f
fix/enable - check F401 ( #5201 )
...
* refactor - check F401
* missed
* fix
2020-12-21 10:15:04 +01:00
bf7c28cd54
[Metrics] PrecisionRecallCurve, ROC and AveragePrecision class interface ( #4549 )
...
* initial changes
* remove old
* init files
* add average precision
* add precision_recall_curve
* add roc
* cleaning
* docs
* pep8
* docs
* pep8
* changelog
* examples prune duplicate roc
* format
* imports
* fix
* format
* flake8
* duplicate
* fix
* flake8
* docs
* docs
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Nicki Skafte <nugginea@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2020-12-04 22:42:23 +01:00
6831ba9aa0
[Metrics] Unification of FBeta ( #4656 )
...
* implementation
* init files
* more stable reduction
* add tests
* docs
* remove old implementation
* pep8
* changelog
* Apply suggestions from code review
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Nicki Skafte <nugginea@gmail.com>
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-11-23 09:44:35 +01:00
e0b856c105
[Metrics] Confusion matrix class interface ( #4348 )
...
* docs + precision + recall + f_beta + refactor
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* rebase
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* fixes
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* added missing file
* docs
* docs
* extra import
* add confusion matrix
* add to docs
* add test
* pep8 + isort
* update tests
* move util function
* unify functional and class
* add to init
* remove old implementation
* update tests
* pep8
* add duplicate
* fix doctest
* Update pytorch_lightning/metrics/classification/confusion_matrix.py
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
* changelog
* bullet point args
* bullet docs
* bullet docs
Co-authored-by: ananyahjha93 <ananya@pytorchlightning.ai>
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Roger Shieh <55400948+s-rog@users.noreply.github.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-10-30 11:44:25 +01:00
a937394312
[Metrics] Unification of regression ( #4166 )
...
* moved to utility
* add files
* unify
* add desc
* update
* end of line
* Apply suggestions from code review
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
* add back functional test in new interface
* pep8
* doctest fix
* test name fix
* unify psnr + add class psnr, TODO: psnr test refactor ala mean squared error
* unify psnr
* rm unused code
* pep8
* docs
* unify ssim
* lower tolerance for ssim
* fix import
* pep8
* docs
* flake8
* test smaller images
* trying to fix test
* no ddp test for ssim
* pep8
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
2020-10-21 18:05:59 -04:00
09c2020a93
notices ( #4118 )
2020-10-13 07:18:07 -04:00
ae8772490d
classification metrics ( #4043 )
...
* docs + precision + recall + f_beta + refactor
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* rebase
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* fixes
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* added missing file
* docs
* docs
* extra import
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
2020-10-10 12:31:00 -04:00
b961e12f50
Implement Explained Variance Metric + metric fix ( #4013 )
...
* metric fix, explained variance
* one more test
* pep8
* remove comment
* fix add_state condition
Co-authored-by: ananyahjha93 <ananya@pytorchlightning.ai>
2020-10-08 22:58:33 -04:00
f76bc5254e
revamp entire metrics ( #3868 )
...
* removed metric
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* added new metrics
Co-authored-by: Teddy Koker teddy.koker@gmail.com
* pep8
Co-authored-by: Teddy Koker teddy.koker@gmail.com
* pep8
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* docs
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* docs
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* win ddp tests skip
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* win ddp tests skip
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* win ddp tests skip
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* win ddp tests skip
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* reset in compute, cache compute
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* reduce_ops handling
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* sync -> sync_dist, type annotations
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* wip docs
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* mean squared error
* docstring
* added mean ___ error metrics
* added mean ___ error metrics
* seperated files
* accuracy doctest
* gpu fix
* remove unnecessary mixin
* metric and accuracy docstring
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* metric docs
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* pep8, changelog
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* refactor dist utils, pep8
* refactor dist utils, pep8
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
2020-10-06 17:03:24 -04:00
93cf6d0054
[Metrics] class based embedding similarity + tests ( #3358 )
...
* embedding similarity class + test
* fix tests
* fix pep8
* add docs
* noindex
* Update docs/source/metrics.rst
* Update pytorch_lightning/metrics/self_supervised.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Update pytorch_lightning/metrics/self_supervised.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* suggestions
* changes to init
* move __all__
* fix imports
* Apply suggestions from code review
* assert typo
* change import
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Nicki Skafte <nugginea@gmail.com>
2020-09-11 12:11:50 +02:00
b66ce88f0d
[metrics] Renaming of precision recall metric ( #3308 )
...
* rename metrics
* update docs
2020-09-01 14:59:33 -04:00
b7d72706c3
clean imports ( #2867 )
...
* clean imports
* miss
2020-08-08 00:33:51 +02:00
bda7cf1653
metrics: add SSIM ( #2671 )
...
* metrics: add SSIM
* Update CHANGELOG.md
fix codefactor issue
fix doctest
fix doctest
fix test
* added test for raise Error
2020-07-23 12:13:52 -04:00
0a65826462
metrics: add BLEU ( #2535 )
...
* metrics: added bleu score and test bleu
* metrics: fixed type hints in bleu
* bleu score moved to metrics/functional/nlp.py
* refactor with torch.Tensor
* Update test_sequence.py
* refactor as Borda requests and nltk==3.2
* locked nltk==3.3
* nltk>=3.3, parametrized smooth argument for test
* fix bleu_score example
* added class BLEUScore metrics and test
* added class BLEUScore metrics and test
* update CHANGELOG
* refactor with torchtext
* torchtext changed to optional import
* fix E501 line too long
* add else: in optional import
* remove pragma: no-cover
* constants changed to CAPITALS
* remove class in tests
* List -> Sequence, conda -> pip, cast with tensor
* add torchtext in test.txt
* remove torchtext from test.txt
* bump torchtext to 0.5.0
* bump torchtext to 0.5.0
* Apply suggestions from code review
* ignore bleu score in doctest, renamed to nlp.py
* back to implementation with torch
* remove --ignore in CI test, proper reference format
* apply justus comment
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-07-22 09:58:24 -04:00
6f4a488bae
Add functional regression metrics ( #2492 )
...
* Add functional regression metrics
* add functional tests
* add docs
* changelog
* init
* pep8
* docs
* docs
* setup docs
* docs
* Apply suggestions from code review
* Apply suggestions from code review
* typo
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-07-09 17:54:38 +02:00
1dc724239a
PSNR metric ( #2483 )
...
* Add stub PSNR metric
* Fix linter
* Add data range as parameter
* Add tests
* Add scikit-image
* Add PSNR to regression metrics and add functional
* Refactor to functional
* Fix linter
* Fix linter, again
* Fix linter, again
* Fix typo in test
* Fix typo in another test
* Add scikit-image to conda
* Lift numpy requirement
* Add random tests
* Update CHANGELOG.md
* Apply suggestions from code review
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-07-08 10:26:11 +02:00
e0b7359555
[metrics] IoU Metric ( #2062 )
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* add iou function
* update stat scores
* add iou class
* add iou tests
* chlog
* Apply suggestions from code review
* tests
* docs
* Apply suggestions from code review
* docs
Co-authored-by: Jirka <jirka@pytorchlightning.ai>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-18 09:06:31 -04:00
1635ba1bb3
allow regression metrics to import ( #2225 )
...
* allow regression metrics to import
* allow regression metrics to import
* docs
* Apply suggestions from code review
Co-authored-by: Jirka <jirka@pytorchlightning.ai>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-17 18:44:29 -04:00
f1c732a77b
Metric docs fix ( #2209 )
...
* fix docs
* Update docs/source/metrics.rst
* Update docs/source/metrics.rst
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update docs/source/metrics.rst
* Update docs/source/metrics.rst
* Update metrics.rst
* title
* fix
* fix for num_classes
* chlog
* nb classes
* hints
* zero division
* add tests
* Update metrics.rst
* Update classification.py
* Update classification.py
* prune doctests
* docs
* Apply suggestions from code review
* Apply suggestions from code review
* flake8
* doctests
* formatting
* cleaning
* formatting
* formatting
* doctests
* flake8
* docs
* rename
* rename
* typo
Co-authored-by: Nicki Skafte <nugginea@gmail.com>
Co-authored-by: William Falcon <waf2107@columbia.edu>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Jirka <jirka@pytorchlightning.ai>
Co-authored-by: edenlightning <66261195+edenlightning@users.noreply.github.com>
2020-06-17 07:34:39 -04:00
55fbcc00f6
Metrics docs ( #2184 )
...
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* Apply suggestions from code review
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* add workers fix
* add workers fix
* add workers fix
* add workers fix
* add workers fix
* add workers fix
* add workers fix
* add workers fix
* add workers fix
* add workers fix
* Update docs/source/metrics.rst
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Update docs/source/metrics.rst
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Update docs/source/metrics.rst
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Update docs/source/metrics.rst
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* add workers fix
* add workers fix
* add workers fix
* doctests
* add workers fix
* add workers fix
* fixes
* fix docs
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* fixes
* Apply suggestions from code review
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* add workers fix
* Update docs/source/metrics.rst
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* doctests
* add workers fix
* fix docs
* fixes
* fixes
* fix doctests
* Apply suggestions from code review
* fix doctests
* fix examples
* bug
* Update docs/source/metrics.rst
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update docs/source/metrics.rst
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update docs/source/metrics.rst
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* fixes
* fixes
* fixes
* fixes
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
Co-authored-by: Jirka <jirka@pytorchlightning.ai>
Co-authored-by: Nicki Skafte <nugginea@gmail.com>
2020-06-16 07:42:56 -04:00
3436d00230
Native torch metrics ( #1488 )
...
* 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>
2020-06-13 08:47:25 -04:00
bd49b07fbb
Rework of Sklearn Metrics ( #1327 )
...
* 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>
2020-06-10 15:43:12 +02:00
9b629637b8
New metric classes ( #1326 ) ( #1877 )
...
* 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>
2020-05-19 11:05:07 -04:00
Jirka Borovec