Release notes for v1.5.0-preview2 #4787
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| # [ML.NET](http://dot.net/ml) 1.5.0-preview2 | ||
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| ## **New Features (IN-PREVIEW, please provide feedback)** | ||
| - **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623)) This data transformer can be used to impute missing rows in time series data. | ||
| - **LDSVM Trainer** ([#4060](https://github.com/dotnet/machinelearning/pull/4060)) The "Local Deep SVM" usess trees as its SVM kernel to create a non-linear binary trainer. A sample can be found [here](https://github.com/dotnet/machinelearning/blob/c819d77e9250c68883713d5f1cd79b8971a11faf/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/LdSvm.cs). | ||
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| - **Onnxruntime updated to v1.2** This also includes support for GPU execution of onnx models | ||
| - **Export-to-ONNX for below components:** | ||
| - SlotsDroppingTransformer ([#4562](https://github.com/dotnet/machinelearning/pull/4562)) | ||
| - ColumnSelectingTransformer ([#4590](https://github.com/dotnet/machinelearning/pull/4590)) | ||
| - VectorWhiteningTransformer ([#4577](https://github.com/dotnet/machinelearning/pull/4577)) | ||
| - NaiveBayesMulticlassTrainer ([#4636](https://github.com/dotnet/machinelearning/pull/4636)) | ||
| - PlattCalibratorTransformer ([#4699](https://github.com/dotnet/machinelearning/pull/4699)) | ||
| - TokenizingByCharactersTransformer ([#4805](https://github.com/dotnet/machinelearning/pull/4805)) | ||
| - TextNormalizingTransformer ([#4781](https://github.com/dotnet/machinelearning/pull/4781)) | ||
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| ## **Bug Fixes** | ||
| - Fix issue in WaiterWaiter caused by race condition ([#4829](https://github.com/dotnet/machinelearning/pull/4829)) | ||
| - Onnx Export change to allow for running inference on multiple rows in OnnxRuntime ([#4783](https://github.com/dotnet/machinelearning/pull/4783)) | ||
| - Data splits to default to MLContext seed when not specified ([#4764](https://github.com/dotnet/machinelearning/pull/4764)) | ||
| - Add Seed property to MLContext and use as default for data splits ([#4775](https://github.com/dotnet/machinelearning/pull/4775)) | ||
| - **Onnx bug fixes** | ||
| - Updating onnxruntime version ([#4882](https://github.com/dotnet/machinelearning/pull/4882)) | ||
| - Calculate ReduceSum row by row in ONNX model from OneVsAllTrainer ([#4904](https://github.com/dotnet/machinelearning/pull/4904)) | ||
| - Several onnx export fixes related to KeyToValue and ValueToKey transformers ([#4900](https://github.com/dotnet/machinelearning/pull/4900), [#4866](https://github.com/dotnet/machinelearning/pull/4866), [#4841](https://github.com/dotnet/machinelearning/pull/4841), [#4889](https://github.com/dotnet/machinelearning/pull/4889), [#4878](https://github.com/dotnet/machinelearning/pull/4878), [#4797](https://github.com/dotnet/machinelearning/pull/4797)) | ||
| - Fixes to onnx export for text related transforms ([#4891](https://github.com/dotnet/machinelearning/pull/4891), [#4813](https://github.com/dotnet/machinelearning/pull/4813)) | ||
| - Fixed bugs in OptionalColumnTransform and ColumnSelecting ([#4887](https://github.com/dotnet/machinelearning/pull/4887), [#4815](https://github.com/dotnet/machinelearning/pull/4815)) | ||
| - Alternate solution for ColumnConcatenatingTransformer ([#4875](https://github.com/dotnet/machinelearning/pull/4875)) | ||
| - Added slot names support for OnnxTransformer ([#4857](https://github.com/dotnet/machinelearning/pull/4857)) | ||
| - Fixed output schema of OnnxTransformer ([#4849](https://github.com/dotnet/machinelearning/pull/4849)) | ||
| - Changed Binarizer node to be cast to the type of the predicted label … ([#4818](https://github.com/dotnet/machinelearning/pull/4818)) | ||
| - Fix for OneVersusAllTrainer ([#4698](https://github.com/dotnet/machinelearning/pull/4698)) | ||
| - Enable OnnxTransformer to accept KeyDataViewTypes as if they were UInt32 ([#4824](https://github.com/dotnet/machinelearning/pull/4824)) | ||
| - Fix off by 1 error with the cats_int64s attribute for the OneHotEncoder ONNX operator ([#4827](https://github.com/dotnet/machinelearning/pull/4827)) | ||
| - Changed Binarizer node to be cast to the type of the predicted label … ([#4818](https://github.com/dotnet/machinelearning/pull/4818)) | ||
| - Updated handling of missing values with LightGBM, and added ability to use (0) as missing value ([#4695](https://github.com/dotnet/machinelearning/pull/4695)) | ||
| - Double cast to float for some onnx estimators ([#4745](https://github.com/dotnet/machinelearning/pull/4745)) | ||
| - Fix onnx output name for GcnTransform ([#4786](https://github.com/dotnet/machinelearning/pull/4786)) | ||
| - Added support to run PFI on uncalibrated binary classification models ([#4587](https://github.com/dotnet/machinelearning/pull/4587)) | ||
| - Fix bug in WordBagEstimator when training on empty data ([#4696](https://github.com/dotnet/machinelearning/pull/4696)) | ||
| - Added Cancellation mechanism to Image Classification (through the experimental nuget) (fixes #4632) ([#4650](https://github.com/dotnet/machinelearning/pull/4650)) | ||
| - Changed F1 score to return 0 instead of NaN when Precision + Recall is 0 ([#4674](https://github.com/dotnet/machinelearning/pull/4674)) | ||
| - TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665)) | ||
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| - ImageLoadingTransformer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691)) | ||
| - Use random file name for AutoML experiment folder ([#4657](https://github.com/dotnet/machinelearning/pull/4657)) | ||
| - Using invariance culture when converting to string ([#4635](https://github.com/dotnet/machinelearning/pull/4635)) | ||
| - Fix NullReferenceException when it comes to Recommendation in AutoML and CodeGenerator ([#4774](https://github.com/dotnet/machinelearning/pull/4774)) | ||
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| ## **Enhancements** | ||
| - Added in support for System.DateTime type for the DateTimeTransformer ([#4661](https://github.com/dotnet/machinelearning/pull/4661)) | ||
| - Additional changes to ExpressionTransformer ([#4614](https://github.com/dotnet/machinelearning/pull/4614)) | ||
| - Optimize generic MethodInfo for Func<TResult> ([#4588](https://github.com/dotnet/machinelearning/pull/4588)) | ||
| - Data splits to default to MLContext seed when not specified ([#4764](https://github.com/dotnet/machinelearning/pull/4764)) | ||
| - Added in DateTime type support for TimeSeriesImputer ([#4812](https://github.com/dotnet/machinelearning/pull/4812)) | ||
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| ## **Test updates** | ||
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Member
There was a problem hiding this comment. This whole section is not shipped to the users, why is this included in release notes? Who is your target audience and why would they care about stuff that is not shipped part of nuget? |
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| - **Code analysis updates** | ||
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Member
There was a problem hiding this comment. We don't ship code analyzer to our nuget users, why is this relevant to release notes? CC: @eerhardt |
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| - Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740)) | ||
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| - Enable the internal code analyzer for test projects ([#4731](https://github.com/dotnet/machinelearning/pull/4731)) | ||
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Member
There was a problem hiding this comment. This is not shipped to the nuget users. |
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| - Implement MSML_ExtendBaseTestClass (Test classes should be derived from BaseTestClass) ([#4746](https://github.com/dotnet/machinelearning/pull/4746)) | ||
| - Enable MSML_TypeParamName for the full solution ([#4762](https://github.com/dotnet/machinelearning/pull/4762)) | ||
| - Enable MSML_ParameterLocalVarName for the full solution ([#4833](https://github.com/dotnet/machinelearning/pull/4833)) | ||
| - Enable MSML_SingleVariableDeclaration for the full solution ([#4765](https://github.com/dotnet/machinelearning/pull/4765)) | ||
| - **Better logging from tests** | ||
| - Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710)) | ||
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| - Fix failure to capture test failures ([#4716](https://github.com/dotnet/machinelearning/pull/4716)) | ||
| - Collect crash dump upload dump and pdb to artifact ([#4666](https://github.com/dotnet/machinelearning/pull/4666)) | ||
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Member
There was a problem hiding this comment. How is collect crash dump relevant to nuget users? It will almost make them feel their data is being collected. |
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| - Enable Conditional Numerical Reproducibility for tests ([#4569](https://github.com/dotnet/machinelearning/pull/4569)) | ||
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Member
There was a problem hiding this comment. This is specific to test projects, we don't ship test projects. |
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| - Changed all MLContext creation to include a fixed seed ([#4736](https://github.com/dotnet/machinelearning/pull/4736)) | ||
| - Fix incorrect SynchronizationContext use in TestSweeper ([#4779](https://github.com/dotnet/machinelearning/pull/4779)) | ||
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| ## **Documentation Updates** | ||
| - Update cookbook to latest API ([#4706](https://github.com/dotnet/machinelearning/pull/4706)) | ||
| - Update documentation to stop mentioning interfaces that no longer exist ([#4673](https://github.com/dotnet/machinelearning/pull/4673)) | ||
| - Roadmap update ([#4704](https://github.com/dotnet/machinelearning/pull/4704)) | ||
| - Added release process documentation to README.md ([#4402](https://github.com/dotnet/machinelearning/pull/4402)) | ||
| - Fix documentation of SvmLightLoader ([#4616](https://github.com/dotnet/machinelearning/pull/4616)) | ||
| - Correct KMeans scoring function doc ([#4705](https://github.com/dotnet/machinelearning/pull/4705)) | ||
| - Several typo fixes thanks to [@MaherJendoubi](https://github.com/MaherJendoubi) ([#4627](https://github.com/dotnet/machinelearning/pull/4627), [#4631](https://github.com/dotnet/machinelearning/pull/4631), [#4626](https://github.com/dotnet/machinelearning/pull/4626) [#4617](https://github.com/dotnet/machinelearning/pull/4617), [#4633](https://github.com/dotnet/machinelearning/pull/4633), [#4629](https://github.com/dotnet/machinelearning/pull/4629), [#4642](https://github.com/dotnet/machinelearning/pull/4642)) | ||
| - Other typo fixes: ([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685), [#4885](https://github.com/dotnet/machinelearning/pull/4885)) | ||
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| ## **Breaking Changes** | ||
| - None | ||
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Should we add the nuget package here? i.e. which package the user has to install to get access to the component