465ec752f8
Metric ddp bugfix ( #4482 )
...
* changes
* fix spelling
* small note
* trying to fix ddp test
* fix ddp
* fix for test
* suggestion
* CHANGELOG
* Update pytorch_lightning/metrics/metric.py
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
Co-authored-by: Sean Naren <sean@grid.ai>
2020-11-10 09:16:31 +01:00
51cc7a89ee
Horovod: fixed early stopping and added metrics aggregation ( #3775 )
...
* Fixed early stopping for Horovod
* Refactored to sync_dist_if_available
* Bump min Horovod version to support hvd.is_initialized
* Changelog
* Added back change for Horovod
* Removed redundant checks for initialization
* Implement metrics gathering for Horovod
* Added test for EvalResult
* Renamed ddp_sync_on_step -> dist_sync_on_step
* Added metric test for Horovod
* Added option pass callable allgather function to metric base class
* Added dist_sync_fn
* Fixed calls to private _sync_dist
* Fixed Horovod test
* Added sync_tensor to the distributed backend
* Skip Windows
* Insert test path
* Removed redundant import
* Updated drone
* Unset HOROVOD_GPU_ALLREDUCE
* Unset
* No cache dir
* No uninstall
* Unset variables
* Uninstall Horovod during initialization
* Replaced more references to ddp_sync_on_step
* Fixed imports
* Fixed attribute
* Added back default
* Lint
* Added back docstring
* Made gather_all_tensors default
* Added whitespace
* Update tests/models/test_horovod.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 CHANGELOG.md
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-11-05 12:52:02 -05:00
5d08559c03
Avoid torchscript export for Metric forward ( #4428 )
...
* Update metric.py
* add test
* Update CHANGELOG.md
* Update test_metric_lightning.py
* Update test_metric_lightning.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-11-03 23:02:02 +01:00
19187d38f9
[Metrics] Detach bugfix ( #4313 )
...
* detach on buffer
* doc update
* remove file
* changelog
* suggestions
* Update docs/source/metrics.rst
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* fix for 4266
* Update docs/source/metrics.rst
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Update CHANGELOG.md
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: chaton <thomas@grid.ai>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Ananya Harsh Jha <ananya@pytorchlightning.ai>
Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-11-02 19:44:49 +00:00
38bb4e2da0
[Metrics] Add multiclass auroc ( #4236 )
...
* Add functional multiclass AUROC metric
* Add multiclass_auroc tests
* fixup! Add functional multiclass AUROC metric
* fixup! fixup! Add functional multiclass AUROC metric
* Add multiclass_auroc doc reference
* Update CHANGELOG
* formatting
* Shorter error message regex match in tests
* Set num classes as pytest parameter
* formatting
* Update CHANGELOG
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-10-30 19:56:13 +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
6ad299573f
[Metrics] Fix/4237 auc unstable reorder ( #4281 )
...
* =Add deprecation warning for auc reorder
* =Add test for deprecation warning for auc reorder
* Update CHANGELOG
* Add reorder deprecation warning to auc docstring
* Fix pep8 f-string error
* remove duplicate import
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-10-25 10:26:40 +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
96785b99df
Feature/4244 iou input expectations ( #4261 )
...
* =Add iou input checks
* =Add test for iou input checks
* =Update docstring for iou pred and target
2020-10-21 09:01:24 -04:00
d27ee8b5bf
docs: Add empty lines in docstring [ci skip] ( #4232 )
...
* Add empty lines in docstring for proper docs
* Remove Returns:
* Remove unnecessary Returns:
* Update pytorch_lightning/accelerators/ddp2_accelerator.py
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* fix returns
Co-authored-by: William Falcon <waf2107@columbia.edu>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-10-21 09:00:39 -04:00
73863e9102
Fix unintended zero-only target in iou example ( #4262 )
2020-10-21 11:18:25 +02:00
5d1583d7f2
Corrected f_beta computation ( #4183 )
...
* Update f_beta.py
Added METRIC_EPS in the denominator to avoid nan values in f_beta score.
* Update f_beta.py
Made changes flake8 compliant
* Update f_beta.py
Makes use of class_reduce for macro f_beta computation to avoid nans
* Update f_beta.py
Made flake8 compliant
* Corrected F beta computation
* Removed offset to make the computation precise
2020-10-21 10:52:04 +02:00
827a557269
Add persistent flag to Metric.add_state ( #4195 )
...
* add persistant flag to add_state in metrics
* wrap register_buffer with try catch
* pep8
* use loose version
* test
* pep8
2020-10-16 14:36:03 -04:00
b45b57cc58
Use `Optional` for arguments set to `None` by default ( #4164 )
...
* Use `Optional` for variables set to `None` by default
* Use `Optional` instead of `Union[None, ...]` for consistency
2020-10-15 23:02:50 +02:00
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
8a3c800641
Update explained variance metric ( #4024 )
...
* update metrics
* pep8
* Update pytorch_lightning/metrics/regression/explained_variance.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* add typing for testing utils
* change from assert to raise exception
* add test for raised shape error
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-09 19:23:12 -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
342fc7d506
[skip ci] metric docs ( #3992 )
...
* update metric docs
* doc fix
* add assert desc
* update based on suggestion
2020-10-08 21:26:39 -04:00
6f1a2ce517
integrate metrics API with self.log ( #3961 )
...
* metrics integration into self.log
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* ddp and regualr test for self.log + metrics
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* pep8
* fix log tests
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
* docs
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
2020-10-07 22:54:32 -04:00
616fe82c7d
latest restore func metrics ( #3949 )
...
* latest restore
* latest restore
2020-10-07 14:26:30 -04:00
186fc130cf
Minor formatting & grammar fixes in docs [CI SKIP] ( #3952 )
...
* Minor formatting & grammar fixes in docs
* Few more tentative doc fixes
2020-10-07 14:25:52 -04:00
b3d25262e9
restore functional metrics ( #3943 )
...
* restore functional metrics
* clean
* fix
2020-10-07 12:48:58 -04:00
4cd14c4237
fixes metrics pickle issue ( #3921 )
...
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
2020-10-06 20:33:57 -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
fe290280be
Metric aggregation testing ( #3517 )
...
* aggregation testing
* add more tests
* mse
* more tests
* fix tests
* fix doctest
* fix codefactor
* fix import error
* fix doctest
* revert docfix
* test for model integration
* fix integration test
* added test cases
* fix rmsle
* aggregation testing
* add more tests
* mse
* more tests
* fix tests
* fix doctest
* fix codefactor
* fix import error
* fix doctest
* revert docfix
* test for model integration
* fix integration test
* fix psnr
* add warning/valueerror to embedding similarity
* fixed f scores
* disable some test
* fix tests
* fixing codefactor
* fix pep8
* changelog
* fix doctest
* cleaning test
* fix pickle error
* pickle fix
* fix pickle error
* Apply suggestions from code review
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* code cleanup + changes based on suggestions
* update based on suggestion
* update based on suggestions
* Apply suggestions from code review
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Nicki Skafte <nugginea@gmail.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-01 15:37:51 +02:00
9a7d1a1876
[metrics] Accuracy num_classes error fix ( #3764 )
...
* change accuracy error to warning
* changelog
2020-10-01 13:00:42 +02:00
b1347c956a
[Metrics] AUROC error on multilabel + improved testing ( #3350 )
...
* error on multilabel
* fix tests
* fix pep8
* changelog
* update doc test
* fix doctest
* fix doctest
* update from suggestion
* Apply suggestions from code review
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Update test_classification.py
* Update test_classification.py
* retrigger test
* 'pep8
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-09-21 11:46:48 +02:00
99f05ed23f
fix warnings on windows ( #3555 )
2020-09-19 18:29:06 -04:00
67fed01a16
Fixed failed import warning for torch.distributed.group ( #3553 )
2020-09-19 18:52:30 +02:00
76c4afb840
Fix IoU score for classes not present in target or pred ( #3098 )
...
* Fix IoU score for classes not present in target or pred
Fixes #3097
- Allow configurable not_present_score for IoU for classes
not present in target or pred. Defaults to 1.0.
- Also allow passing `num_classes` parameter through from iou
metric class down to its underlying functional iou
call.
* Changelog: move IoU not-present score fix to [unreleased]
* IoU: avoid recomputing class presence in target and pred
Use already-computed support, true positives, and false positives to
determine if a class is not present in either target or pred.
* Test IoU against sklearn jaccard_score
Also add TODO to test our IoU's not_present_score against sklearn's
jaccard_score's zero_division when it beecomes available.
* IoU: remove_bg -> ignore_index
Fixes #2736
- Rename IoU metric argument from `remove_bg` -> `ignore_index`.
- Accept an optional int class index to ignore, instead of a bool and
instead of always assuming the background class has index 0.
- If given, ignore the class index when computing the IoU output,
regardless of reduction method.
* Improve documentation for IoU not_present_score
* Update default IoU not_present_score to 0.0
* Add note about IoU division by zero
* Rename IoU not_present_score -> absent_score
* Update IoU absent score changelog wording
* Condense IoU absent_score argument docstring
* Remove unnecessary IoU ignore_index comment
* docstrings
* isort
* flake8
* Fix test of IoU against sklearn jaccard
Use macro instead of micro averaging in sklearn's jaccard score, to
match multi-class IoU, which conventionally takes per-class scores
before averaging.
Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
2020-09-17 10:37:49 +02:00
28af34bc51
[Metrics] Class reduction similar to sklearn ( #3322 )
...
* new class reduce interface
* update docs
* pep8
* update_class_metrics
* fix doctest
* changelog
* fix docs
* fix codefactor
* fix codefactor
* formatting
* fix typo
* fix typo
* typo pr -> per
* update from suggestion
* fix error
* Apply suggestions from code review
* Update CHANGELOG.md
* formatting
* timeouts
* docstring formatting for reg metrics
* pep
* flake8
* revert workflow changes
* suggestions
Co-authored-by: Nicki Skafte <nugginea@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
2020-09-15 14:36:14 +02:00
4dc4c8cfa5
Metric aggregation ( #3321 )
...
* metric aggregation
* metric aggregation
* add at_least_1d
* fix output formatting
* add metric tests
* add missing test case
* remove reduce_op frm metric classes
* fix reduce_op stuff
* start test fixing
* fix tests due to aggregation
* fix faulty import
* Apply suggestions from code review
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* remove reduce_op docstrings
* add compute
* remove import
* remove collection metric
* update base class
* update tests
* Update metric.py
* Update metric.py
* Apply suggestions from code review
* change default aggregate
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-09-14 07:23:11 -04:00
a552d4a2d5
fix normalize mode at confusion matrix (replace nans with zeros) ( #3465 )
...
* replace nans to 0 at conf. matrix & update tests
* cm.isnan() -> torch.isnan(cm)
* fix row-wise division while normalize
* update tests
* pep8 fix
* Update tests/metrics/test_classification.py
add comment to test
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Update tests/metrics/functional/test_classification.py
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* Update pytorch_lightning/metrics/functional/classification.py
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* final update
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-09-14 10:05:51 +02:00
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
d05d4c78e1
add num_classes argument to confusion matrix ( #3450 )
...
* add num_classes arg to confusion matrix
* update ConfusionMatrix test
* final update)
2020-09-10 18:39:04 -04:00
227959b3df
added emb similarity ( #3349 )
2020-09-04 09:45:21 -04:00
d521c1b178
Fix: gather_all_tensors cross GPUs in DDP ( #3319 )
...
* Fix: gather_all_tensors cross GPUs in metrics
* add a test case for gather_all_tensors_ddp in #3253
2020-09-03 12:27:32 +02:00
b66ce88f0d
[metrics] Renaming of precision recall metric ( #3308 )
...
* rename metrics
* update docs
2020-09-01 14:59:33 -04:00
888340d17e
Fix RMSLE metric ( #3188 )
...
* fix rmsle
* Updated test to match rmsle fix
* Updated RMSLE example result to match functional
* chlog
* add randomized test
* fix pep8
Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-08-26 08:02:53 -04:00
17d8773106
New modular metric interface ( #2528 )
...
* new base structure
* missing packages
* updated interface
* revert some changes
* fixes
* add changelog
* fix bug
* added description
* test for pickable
* fixing test
* fixing test
* fix pickle issue
* reduceop typehints back
* remove redundant module arg
* add save/load test
* add aggregate method
* text clarification
* fix doctest
* Apply suggestions from code review
* change test to results obj
* fix docs
* formatting
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* formatting
* pep
* Update CHANGELOG.md
* suggestions
* fix tests
* fix pep8
* fix tests
Co-authored-by: Nicki Skafte <nugginea@gmail.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-08-26 13:01:29 +02:00
cb0c60bf7a
Fix typo ( #3174 )
2020-08-26 08:18:59 +02:00
f43028f3ae
added copyright notices ( #3062 )
2020-08-19 22:03:22 -04:00
983c030326
fix reduction docstring and clean tests ( #2885 )
...
* fix reduction docstring
* Update docstring and some cleanup
* miss
* suggestion from code review
Co-authored-by: Ananya Harsh Jha <ananya@pytorchlightning.ai>
Co-authored-by: Ananya Harsh Jha <ananya@pytorchlightning.ai>
2020-08-09 06:03:24 -04:00
6ebe0d7266
Fix docstring ( #2884 )
...
* Fix docstring
"mean absolute loss" rather than "root mean absolute loss"
* minor docstring fix
Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
2020-08-08 11:58:18 +00:00
d9d7e91a3b
hotfix on classification metrics ( #2878 )
...
* Faster classfication stats
* Faster accuracy metric
* minor change on cls metric
* Add out-of-bound class clamping
* Add more tests and minor fixes
* Resolve code style warning
* Update for #2781
* hotfix
* Update pytorch_lightning/metrics/functional/classification.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update about conversation
* Add docstring on stat_scores_multiple_classes
* Fixing #2862
Co-authored-by: Younghun Roh <yhunroh@mindslab.ai>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-08-08 06:01:38 -04:00
b7d72706c3
clean imports ( #2867 )
...
* clean imports
* miss
2020-08-08 00:33:51 +02:00
ac4a215071
Faster Accuracy metric ( #2775 )
...
* Faster classfication stats
* Faster accuracy metric
* minor change on cls metric
* Add out-of-bound class clamping
* Add more tests and minor fixes
* Resolve code style warning
* Update for #2781
* hotfix
* Update pytorch_lightning/metrics/functional/classification.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update about conversation
* Add docstring on stat_scores_multiple_classes
Co-authored-by: Younghun Roh <yhunroh@mindslab.ai>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-08-06 11:40:35 +02:00
5bbcb8db1f
Improve SSIM ( #2833 )
...
* make ssim fast
* remove padding
* pep8
* add comments for readability
* plus -> coef
2020-08-05 13:40:11 -04:00
e3732789d7
Add remaning sklearn metrics ( #2562 )
...
* added balanced accuracy
* added dcg score
* added mean absolute error
* added mean squared error
* fix
* added mean squared log error
* add median absolute error and r2 score
* switch arguments
* added mean poisson deviance
* add mean gamma deviance and mean tweedie deviance
* fix styling
* added explained variance score
* added cohen kappa score
* added hamming, hinge, jaccard
* fix styling
* update sklearn requirement to newer version
* update requirement
* fix doctest
* fix tests
* added balanced accuracy
* added dcg score
* added mean absolute error
* added mean squared error
* fix
* added mean squared log error
* add median absolute error and r2 score
* switch arguments
* added mean poisson deviance
* add mean gamma deviance and mean tweedie deviance
* fix styling
* added explained variance score
* added cohen kappa score
* added hamming, hinge, jaccard
* fix styling
* update sklearn requirement to newer version
* fix doctest
* fix tests
* fix doctest
* fix failing docs
* fix test
* trying to fix errors
* Apply suggestions from code review
* format
Co-authored-by: Nicki Skafte <nugginea@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-05 11:32:53 +02:00
Nicki Skafte