Fixed model saving and loading of OneVersusAllTrainer to include SoftMax #4472

harishsk · 2019-11-12T22:00:34Z

When the model parameters from OnVersusAllTrainer are persisted, it currently writes a single bool byte to indicate what type of output formula to use during prediction. If that byte is false, it outputs raw values else it outputs probability values normalized to one.
The sample code in this bug uses AutoML to request a softmax output. The code currently only checks whether the output type is ImplDist which excludes softmax output.

This PR changes the saved model format in a backward compatible way by continuing to write a single byte for output type and continues to use 0 for raw output, 1 for probability normalization but also adds 2 to indicate SoftMax. These values are already in alignment with the OutputFormula enum.

Fixes #4450
Fixes #3647
Fixes #4051

justinormont · 2019-11-12T22:38:19Z

src/Microsoft.ML.StandardTrainers/Standard/MulticlassClassification/OneVersusAllTrainer.cs

            // int: predictor count
-            bool useDist = ctx.Reader.ReadBoolByte();
+            OutputFormula outputFormula = (OutputFormula)ctx.Reader.ReadByte();


Very elegant reuse of the byte. #Resolved

Thank you !

In reply to: 345483370 [](ancestors = 345483370)

codecov · 2019-11-12T23:11:54Z

Codecov Report

❗ No coverage uploaded for pull request base (master@5910910). Click here to learn what that means.
The diff coverage is 100%.

@@            Coverage Diff            @@
##             master    #4472   +/-   ##
=========================================
  Coverage          ?   74.85%           
=========================================
  Files             ?      908           
  Lines             ?   159715           
  Branches          ?    17189           
=========================================
  Hits              ?   119549           
  Misses            ?    35363           
  Partials          ?     4803

Flag	Coverage Δ
#Debug	`74.85% <100%> (?)`
#production	`70.21% <100%> (?)`
#test	`90.18% <100%> (?)`

Impacted Files	Coverage Δ
...estFramework/Attributes/LightGBMTheoryAttribute.cs	`100% <100%> (ø)`
...rd/MulticlassClassification/OneVersusAllTrainer.cs	`75.82% <100%> (ø)`
...osoft.ML.Tests/TrainerEstimators/TreeEstimators.cs	`98.1% <100%> (ø)`

justinormont · 2019-11-13T19:16:21Z

test/Microsoft.ML.Tests/TrainerEstimators/TreeEstimators.cs

@@ -308,7 +308,9 @@ public void LightGbmMulticlassEstimatorWithOptions()
        {
            var options = new LightGbmMulticlassTrainer.Options
            {
-                EvaluationMetric = LightGbmMulticlassTrainer.Options.EvaluateMetricType.Default
+                EvaluationMetric = LightGbmMulticlassTrainer.Options.EvaluateMetricType.Default,
+                UseSoftmax = true


You may want two unit tests total; both setting it explicitly as true and false. I believe the hyerparameter defaults to <auto>, where LightGBM decides for you. #Resolved

Fixed. Thanks!

In reply to: 345950381 [](ancestors = 345950381)

ganik · 2019-11-13T21:12:13Z

src/Microsoft.ML.StandardTrainers/Standard/MulticlassClassification/OneVersusAllTrainer.cs

@@ -364,23 +364,29 @@ private OneVersusAllModelParameters(IHostEnvironment env, ModelLoadContext ctx)
                : base(env, RegistrationName, ctx)
        {
            // *** Binary format ***
-            // bool: useDist
+            // byte: OutputFormula as byte


You are changing how model is saved / loaded from disk. For backward compatibility you will need to use versioning #Resolved

Backward compatibility isnt affected. In the old models, it stored a bool value as a byte. (0 = false = RawScores and 1 = true = Probability Normalization)
All I have done here is to add 2 = SoftMax.

The old models will continue to be read and function as before.

In reply to: 346003757 [](ancestors = 346003757)

ganik

commit a5e274ef8869576190bbb794360a5f56d998b470 Merge: b7db4fa d7f9996 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Nov 14 14:51:21 2019 -0800 Merge branch 'onnx_bin_classifiers' of https://github.com/Lynx1820/machinelearning into onnx_bin_classifiers commit b7db4fa Author: Harish Kulkarni <harishsk@users.noreply.github.com> Date: Thu Nov 14 17:41:12 2019 +0000 Added onnx export support for KeyToValueMappingTransformer (dotnet#4455) commit f3e0f6b Author: Eric Erhardt <eric.erhardt@microsoft.com> Date: Thu Nov 14 07:22:12 2019 -0600 Fix a flaky Extensions.ML test. (dotnet#4458) * Fix a flaky Extensions.ML test. Make the reload model tests more resistant to timing changes. * PR feedback. commit c1e190a Author: Harish Kulkarni <harishsk@users.noreply.github.com> Date: Thu Nov 14 05:24:14 2019 +0000 Added onnx export support for OptionalColumnTransform (dotnet#4454) * Initial work for adding onnx export support for OptionalColumnTransform * Implemented support for optional initializers in OnnxTranformer to support OptionalColumnTransform * Fixed handling of double values and non-long numeric types * Removed redundant line * Updated review comment commit f96761b Author: Harish Kulkarni <harishsk@users.noreply.github.com> Date: Thu Nov 14 03:17:12 2019 +0000 Fixed model saving and loading of OneVersusAllTrainer to include SoftMax (dotnet#4472) * Fixed model saving and loading of OneVersusAllTrainer to include SoftMax * Modified existing test to include SoftMax option * Modified test to verify both cases: when UseSoftmax is true and false commit d45cc8a Author: Jake <31937616+JakeRadMSFT@users.noreply.github.com> Date: Wed Nov 13 17:26:49 2019 -0800 Add InternalsVisibleTo in AutoML and CodeGenerator for the assembly Microsoft.ML.ModelBuilder.AutoMLService.Gpu (dotnet#4474) commit 5e83e23 Author: Eric Erhardt <eric.erhardt@microsoft.com> Date: Wed Nov 13 16:09:05 2019 -0600 CpuMathNative assembly is not getting copied when using packages.config. (dotnet#4465) When we refactored CpuMath to support netcoreapp3.0, we broke the packages.config support to copy the native assembly. This fixes it again by copying the file from the correct location. Fix dotnet#93 commit 693250b Author: Harish Kulkarni <harishsk@users.noreply.github.com> Date: Wed Nov 13 21:58:07 2019 +0000 Added onnx export support for WordTokenizingTransformer and NgramExtractingTransformer (dotnet#4451) * Added onnx export support for string related transforms * Updated baseline test files A large portion of this commit is upgrading the baseline test files. The rest of the fixes deal with build breaks resulting from the upgrade of ORT version. * Fixed bugs in ValueToKeyMappingTransformer and added additional tests commit 5910910 Author: Antonio Velázquez <38739674+antoniovs1029@users.noreply.github.com> Date: Mon Nov 11 17:19:39 2019 -0800 Fixes dotnet#4292 about using PFI with BPT and CMPB (dotnet#4306) *Changes in PredictionTransformer.cs and Calibrator.cs to fix the problem of the create methods not being called, to make CMP load its internal calibrator and predictor first so to assign the correct paramaters types and runtimes, and added a PredictionTransformerLoadTypeAttribute so that the binary prediction transformer knows what type to assign when loading a CMP as its internal model. *Added a working sample for using PFI with BPT and CMPB while loading a model from disk. This is based entirely in the original sample. *Added file CalibratedModelParametersTests.cs with tests that the CMPs modified in this PR are now being correctly loaded from disk. *Changed a couple of tests in LbfgsTests.cs that failed because they used casts that now return 'null'. commit bcdac55 Author: Brian Stark <54910472+bpstark@users.noreply.github.com> Date: Mon Nov 11 13:42:42 2019 -0800 Stabilize the LR test (dotnet#4446) * Stabilize the LR test Found issue with how we were using random for our ImageClassificationTrainer. This caused instability in our unit test, as we were not able to control the random seed. Modified the code to now use the same random object throughout, the trainer, thus allowing us to control the seed and therefor have predictable output. commit d7f9996 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Mon Nov 11 11:33:17 2019 -0800 workaround Scores commit 7fba31c Merge: 93388b6 c96d690 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Mon Nov 11 11:25:28 2019 -0800 merging changes commit 93388b6 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Mon Nov 11 11:19:59 2019 -0800 Added extraction of score column before node creation commit ea71828 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Fri Nov 8 15:53:11 2019 -0800 fix for binary classification trainers export to onnx commit 6fad293 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Oct 31 15:26:43 2019 -0700 Revert "draft regression test" This reverts commit 1ad45c995516b9d39fc05aca855ce2abe96c407b. commit 83c1c80 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Oct 31 15:24:23 2019 -0700 draft regression test commit 8884161 Author: frank-dong-ms <55860649+frank-dong-ms@users.noreply.github.com> Date: Fri Nov 8 20:20:53 2019 -0800 nightly build pipeline (dotnet#4444) * nightly build pipeline commit c96d690 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Fri Nov 8 15:53:11 2019 -0800 fix for binary classification trainers export to onnx commit 8100364 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Oct 31 15:26:43 2019 -0700 Revert "draft regression test" This reverts commit 1ad45c995516b9d39fc05aca855ce2abe96c407b. commit 81381e2 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Oct 31 15:24:23 2019 -0700 draft regression test

…ude SoftMax (dotnet#4472)" This reverts commit f96761b.

commit a5e274ef8869576190bbb794360a5f56d998b470 Merge: b7db4fa d7f9996 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Nov 14 14:51:21 2019 -0800 Merge branch 'onnx_bin_classifiers' of https://github.com/Lynx1820/machinelearning into onnx_bin_classifiers commit b7db4fa Author: Harish Kulkarni <harishsk@users.noreply.github.com> Date: Thu Nov 14 17:41:12 2019 +0000 Added onnx export support for KeyToValueMappingTransformer (dotnet#4455) commit f3e0f6b Author: Eric Erhardt <eric.erhardt@microsoft.com> Date: Thu Nov 14 07:22:12 2019 -0600 Fix a flaky Extensions.ML test. (dotnet#4458) * Fix a flaky Extensions.ML test. Make the reload model tests more resistant to timing changes. * PR feedback. commit c1e190a Author: Harish Kulkarni <harishsk@users.noreply.github.com> Date: Thu Nov 14 05:24:14 2019 +0000 Added onnx export support for OptionalColumnTransform (dotnet#4454) * Initial work for adding onnx export support for OptionalColumnTransform * Implemented support for optional initializers in OnnxTranformer to support OptionalColumnTransform * Fixed handling of double values and non-long numeric types * Removed redundant line * Updated review comment commit f96761b Author: Harish Kulkarni <harishsk@users.noreply.github.com> Date: Thu Nov 14 03:17:12 2019 +0000 Fixed model saving and loading of OneVersusAllTrainer to include SoftMax (dotnet#4472) * Fixed model saving and loading of OneVersusAllTrainer to include SoftMax * Modified existing test to include SoftMax option * Modified test to verify both cases: when UseSoftmax is true and false commit d45cc8a Author: Jake <31937616+JakeRadMSFT@users.noreply.github.com> Date: Wed Nov 13 17:26:49 2019 -0800 Add InternalsVisibleTo in AutoML and CodeGenerator for the assembly Microsoft.ML.ModelBuilder.AutoMLService.Gpu (dotnet#4474) commit 5e83e23 Author: Eric Erhardt <eric.erhardt@microsoft.com> Date: Wed Nov 13 16:09:05 2019 -0600 CpuMathNative assembly is not getting copied when using packages.config. (dotnet#4465) When we refactored CpuMath to support netcoreapp3.0, we broke the packages.config support to copy the native assembly. This fixes it again by copying the file from the correct location. Fix dotnet#93 commit 693250b Author: Harish Kulkarni <harishsk@users.noreply.github.com> Date: Wed Nov 13 21:58:07 2019 +0000 Added onnx export support for WordTokenizingTransformer and NgramExtractingTransformer (dotnet#4451) * Added onnx export support for string related transforms * Updated baseline test files A large portion of this commit is upgrading the baseline test files. The rest of the fixes deal with build breaks resulting from the upgrade of ORT version. * Fixed bugs in ValueToKeyMappingTransformer and added additional tests commit 5910910 Author: Antonio Velázquez <38739674+antoniovs1029@users.noreply.github.com> Date: Mon Nov 11 17:19:39 2019 -0800 Fixes dotnet#4292 about using PFI with BPT and CMPB (dotnet#4306) *Changes in PredictionTransformer.cs and Calibrator.cs to fix the problem of the create methods not being called, to make CMP load its internal calibrator and predictor first so to assign the correct paramaters types and runtimes, and added a PredictionTransformerLoadTypeAttribute so that the binary prediction transformer knows what type to assign when loading a CMP as its internal model. *Added a working sample for using PFI with BPT and CMPB while loading a model from disk. This is based entirely in the original sample. *Added file CalibratedModelParametersTests.cs with tests that the CMPs modified in this PR are now being correctly loaded from disk. *Changed a couple of tests in LbfgsTests.cs that failed because they used casts that now return 'null'. commit bcdac55 Author: Brian Stark <54910472+bpstark@users.noreply.github.com> Date: Mon Nov 11 13:42:42 2019 -0800 Stabilize the LR test (dotnet#4446) * Stabilize the LR test Found issue with how we were using random for our ImageClassificationTrainer. This caused instability in our unit test, as we were not able to control the random seed. Modified the code to now use the same random object throughout, the trainer, thus allowing us to control the seed and therefor have predictable output. commit d7f9996 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Mon Nov 11 11:33:17 2019 -0800 workaround Scores commit 7fba31c Merge: 93388b6 c96d690 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Mon Nov 11 11:25:28 2019 -0800 merging changes commit 93388b6 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Mon Nov 11 11:19:59 2019 -0800 Added extraction of score column before node creation commit ea71828 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Fri Nov 8 15:53:11 2019 -0800 fix for binary classification trainers export to onnx commit 6fad293 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Oct 31 15:26:43 2019 -0700 Revert "draft regression test" This reverts commit 1ad45c995516b9d39fc05aca855ce2abe96c407b. commit 83c1c80 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Oct 31 15:24:23 2019 -0700 draft regression test commit 8884161 Author: frank-dong-ms <55860649+frank-dong-ms@users.noreply.github.com> Date: Fri Nov 8 20:20:53 2019 -0800 nightly build pipeline (dotnet#4444) * nightly build pipeline commit c96d690 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Fri Nov 8 15:53:11 2019 -0800 fix for binary classification trainers export to onnx commit 8100364 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Oct 31 15:26:43 2019 -0700 Revert "draft regression test" This reverts commit 1ad45c995516b9d39fc05aca855ce2abe96c407b. commit 81381e2 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Oct 31 15:24:23 2019 -0700 draft regression test

* Squashed commit of the following: commit a5e274ef8869576190bbb794360a5f56d998b470 Merge: b7db4fa d7f9996 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Nov 14 14:51:21 2019 -0800 Merge branch 'onnx_bin_classifiers' of https://github.com/Lynx1820/machinelearning into onnx_bin_classifiers commit b7db4fa Author: Harish Kulkarni <harishsk@users.noreply.github.com> Date: Thu Nov 14 17:41:12 2019 +0000 Added onnx export support for KeyToValueMappingTransformer (#4455) commit f3e0f6b Author: Eric Erhardt <eric.erhardt@microsoft.com> Date: Thu Nov 14 07:22:12 2019 -0600 Fix a flaky Extensions.ML test. (#4458) * Fix a flaky Extensions.ML test. Make the reload model tests more resistant to timing changes. * PR feedback. commit c1e190a Author: Harish Kulkarni <harishsk@users.noreply.github.com> Date: Thu Nov 14 05:24:14 2019 +0000 Added onnx export support for OptionalColumnTransform (#4454) * Initial work for adding onnx export support for OptionalColumnTransform * Implemented support for optional initializers in OnnxTranformer to support OptionalColumnTransform * Fixed handling of double values and non-long numeric types * Removed redundant line * Updated review comment commit f96761b Author: Harish Kulkarni <harishsk@users.noreply.github.com> Date: Thu Nov 14 03:17:12 2019 +0000 Fixed model saving and loading of OneVersusAllTrainer to include SoftMax (#4472) * Fixed model saving and loading of OneVersusAllTrainer to include SoftMax * Modified existing test to include SoftMax option * Modified test to verify both cases: when UseSoftmax is true and false commit d45cc8a Author: Jake <31937616+JakeRadMSFT@users.noreply.github.com> Date: Wed Nov 13 17:26:49 2019 -0800 Add InternalsVisibleTo in AutoML and CodeGenerator for the assembly Microsoft.ML.ModelBuilder.AutoMLService.Gpu (#4474) commit 5e83e23 Author: Eric Erhardt <eric.erhardt@microsoft.com> Date: Wed Nov 13 16:09:05 2019 -0600 CpuMathNative assembly is not getting copied when using packages.config. (#4465) When we refactored CpuMath to support netcoreapp3.0, we broke the packages.config support to copy the native assembly. This fixes it again by copying the file from the correct location. Fix #93 commit 693250b Author: Harish Kulkarni <harishsk@users.noreply.github.com> Date: Wed Nov 13 21:58:07 2019 +0000 Added onnx export support for WordTokenizingTransformer and NgramExtractingTransformer (#4451) * Added onnx export support for string related transforms * Updated baseline test files A large portion of this commit is upgrading the baseline test files. The rest of the fixes deal with build breaks resulting from the upgrade of ORT version. * Fixed bugs in ValueToKeyMappingTransformer and added additional tests commit 5910910 Author: Antonio Velázquez <38739674+antoniovs1029@users.noreply.github.com> Date: Mon Nov 11 17:19:39 2019 -0800 Fixes #4292 about using PFI with BPT and CMPB (#4306) *Changes in PredictionTransformer.cs and Calibrator.cs to fix the problem of the create methods not being called, to make CMP load its internal calibrator and predictor first so to assign the correct paramaters types and runtimes, and added a PredictionTransformerLoadTypeAttribute so that the binary prediction transformer knows what type to assign when loading a CMP as its internal model. *Added a working sample for using PFI with BPT and CMPB while loading a model from disk. This is based entirely in the original sample. *Added file CalibratedModelParametersTests.cs with tests that the CMPs modified in this PR are now being correctly loaded from disk. *Changed a couple of tests in LbfgsTests.cs that failed because they used casts that now return 'null'. commit bcdac55 Author: Brian Stark <54910472+bpstark@users.noreply.github.com> Date: Mon Nov 11 13:42:42 2019 -0800 Stabilize the LR test (#4446) * Stabilize the LR test Found issue with how we were using random for our ImageClassificationTrainer. This caused instability in our unit test, as we were not able to control the random seed. Modified the code to now use the same random object throughout, the trainer, thus allowing us to control the seed and therefor have predictable output. commit d7f9996 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Mon Nov 11 11:33:17 2019 -0800 workaround Scores commit 7fba31c Merge: 93388b6 c96d690 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Mon Nov 11 11:25:28 2019 -0800 merging changes commit 93388b6 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Mon Nov 11 11:19:59 2019 -0800 Added extraction of score column before node creation commit ea71828 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Fri Nov 8 15:53:11 2019 -0800 fix for binary classification trainers export to onnx commit 6fad293 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Oct 31 15:26:43 2019 -0700 Revert "draft regression test" This reverts commit 1ad45c995516b9d39fc05aca855ce2abe96c407b. commit 83c1c80 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Oct 31 15:24:23 2019 -0700 draft regression test commit 8884161 Author: frank-dong-ms <55860649+frank-dong-ms@users.noreply.github.com> Date: Fri Nov 8 20:20:53 2019 -0800 nightly build pipeline (#4444) * nightly build pipeline commit c96d690 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Fri Nov 8 15:53:11 2019 -0800 fix for binary classification trainers export to onnx commit 8100364 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Oct 31 15:26:43 2019 -0700 Revert "draft regression test" This reverts commit 1ad45c995516b9d39fc05aca855ce2abe96c407b. commit 81381e2 Author: Keren Fuentes <dkeren@seas.upenn.edu> Date: Thu Oct 31 15:24:23 2019 -0700 draft regression test * update name and remove some dependency code * baseline file changes * Refactored function

Fixed model saving and loading of OneVersusAllTrainer to include SoftMax

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harishsk requested a review from a team as a code owner November 12, 2019 22:00

justinormont reviewed Nov 12, 2019

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Modified existing test to include SoftMax option

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justinormont reviewed Nov 13, 2019

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Modified test to verify both cases: when UseSoftmax is true and false

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ganik reviewed Nov 13, 2019

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ganik approved these changes Nov 13, 2019

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harishsk merged commit f96761b into dotnet:master Nov 14, 2019

antoniovs1029 added a commit to antoniovs1029/machinelearning that referenced this pull request Nov 22, 2019

Revert "Fixed model saving and loading of OneVersusAllTrainer to incl…

34636c1

…ude SoftMax (dotnet#4472)" This reverts commit f96761b.

harishsk deleted the bugfix_4450 branch April 21, 2020 23:57

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Fixed model saving and loading of OneVersusAllTrainer to include SoftMax #4472

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Fixed model saving and loading of OneVersusAllTrainer to include SoftMax #4472

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