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Fixes #4292 about using PFI with BPT and CMPB #4306

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merged 25 commits into from
Nov 12, 2019

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@antoniovs1029 antoniovs1029 commented Oct 7, 2019

Fixes #4292 about using PFI with a BinaryPredictionTransformer<> and classes derived from CalibratedModelParametersBase<>.

Approach of the solution

Regarding the 3 problems listed in #4292 the solutions were the following:

  1. To call the correct 'create' method: as discussed here, I removed the constructor with overload (IHostEnvironment env, ModelLoadContext ctx) from the PMCMP<,> class, since its not needed after the changes on this PR. Without that constructor, the 'create' method gets called directly by CreateInstanceCore without changing anything else.
  2. To create a PMCMP object with the correct parameter types: I used a similar approach as the one explained in my previous pull request Addresses #3976 about using PFI with a model loaded from disk #4262. That is, the calibrator and submodel of the PMCMP<> are loaded first, and then they are used to create a generic type at runtime for PMCMP<> but now using the correct parameter types.
  3. To create a BPT<CMPB<>> object whereas a PMCMP<> was loaded: After trying different approaches that didn't work, and following the suggestions of @eerhardt the best way to fix this was to create a new attribute called PredictionTransformerLoadTypeAttribute, that would help the prediction transformer to know what's the correct type to use as a TModel when loading a model from disk. This attribute is applied to the PMCMP<> class, and it's used in PredictionTransformer.cs to decide the correct type for the BPT.

Also, after discussing it with @eerhardt , I also fixed these 3 problems for the classes that inherit from CalibratedModelParametersBase<,>; those are: ValueMapperCalibratedModelParameters<,>, and FeatureWeightsCalibratedModelParameters<,>. Notice that SchemaBindableCalibratedModelParameters<,> also inherits from CMPB<,>, but, as discussed here, it was decided not to fix it.

Changes implemented

  • Changes in PredictionTransformer.cs and Calibrator.cs to implement the approach previously described
  • 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'. Notice that those casts involved using classes such as IPredictorProducing and PMCMP which are internal classes, so a regular user wouldn't have been able to use those casts. They have now been replaced with casts to the public classes BPT<CMPB<>> and CMPB<> using the correct type parameters of the model.

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Codecov Report

Merging #4306 into master will increase coverage by 4.66%.
The diff coverage is 98.9%.

@@            Coverage Diff             @@
##           master    #4306      +/-   ##
==========================================
+ Coverage   70.08%   74.75%   +4.66%     
==========================================
  Files         706      907     +201     
  Lines      122440   159437   +36997     
  Branches    15235    17153    +1918     
==========================================
+ Hits        85809   119181   +33372     
- Misses      32130    35450    +3320     
- Partials     4501     4806     +305
Flag Coverage Δ
#Debug 74.75% <98.9%> (+4.66%) ⬆️
#production 70.1% <97.05%> (+0.02%) ⬆️
#test 90.14% <100%> (?)
Impacted Files Coverage Δ
...soft.ML.Tests/PermutationFeatureImportanceTests.cs 100% <100%> (ø)
src/Microsoft.ML.Data/Prediction/Calibrator.cs 78.68% <100%> (+3.02%) ⬆️
...crosoft.ML.Tests/CalibratedModelParametersTests.cs 100% <100%> (ø)
...Microsoft.ML.Tests/TrainerEstimators/LbfgsTests.cs 98.02% <100%> (ø)
...Microsoft.ML.Data/Scorers/PredictionTransformer.cs 90.88% <94.59%> (-0.2%) ⬇️
...c/Microsoft.ML.FastTree/Utils/ThreadTaskManager.cs 79.48% <0%> (-20.52%) ⬇️
src/Microsoft.ML.AutoML/Sweepers/ISweeper.cs 59.49% <0%> (-7.6%) ⬇️
...L.AutoML/TrainerExtensions/TrainerExtensionUtil.cs 85.15% <0%> (-1.75%) ⬇️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs 86.1% <0%> (-0.16%) ⬇️
src/Microsoft.ML.Transforms/Text/LdaTransform.cs 84.44% <0%> (-0.16%) ⬇️
... and 205 more

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I think this approach is better than the previous method of using Reflection to look for a special static field on the type.

Don't forget to apply the attribute to the other places as necessary.

…e called by its create method, so that it was the same as the previous existing constructor.
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antoniovs1029 commented Oct 23, 2019

So, as discussed offline, I will open other separate issues to address the problems mentioned on Question 1 and Question 2 of this comment

Regarding Question 3 on that comment, and the answers that @yaeldekel provided, as well as suggestions made by @eerhardt offline, it will be better to not make any change on the SchemaBindableCalibratedModelParameters<,> class, since it is not used in the same way as the other CMPs (i.e. it's not used inside binary prediction transformer), and it is used in ways that might not present the same problem as the other CMPs (i.e. that they're loaded from disk using incorrect types for its internal predictor and calibrator). If in the future SBCMP presents this problem, then it might be appropriate to change it in a similar manner as the other CMPs are being modified in this PR.

So there are some minor fixes that I will want to make on this PR, and after that I will remove the Draft status, and I would appreciate for people to review this and approve it.Thanks. #Resolved

@antoniovs1029 antoniovs1029 marked this pull request as ready for review October 23, 2019 22:33
@antoniovs1029 antoniovs1029 requested a review from a team as a code owner October 23, 2019 22:33
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Thank you! Can you please add a link to these new issues in this PR?


In reply to: 545562898 [](ancestors = 545562898)

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Thank you! Can you please add a link to these new issues in this PR?

@yaeldekel Yes, I've opened the following issues and made a reference there to this PR:

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:shipit:

@antoniovs1029 antoniovs1029 merged commit 5910910 into dotnet:master Nov 12, 2019
Lynx1820 added a commit to Lynx1820/machinelearning that referenced this pull request Nov 14, 2019
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
Lynx1820 added a commit to Lynx1820/machinelearning that referenced this pull request Dec 2, 2019
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
Lynx1820 added a commit that referenced this pull request Dec 2, 2019
* 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
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Use PFI with Binary Prediction Transformer and CalibratedModelParametersBase loaded from disk
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