Release notes for v1.5.0-preview2 - #4787

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harishsk merged 6 commits into
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Release notes for v1.5.0-preview2#4787
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harishsk requested a review from a team as a code ownerFebruary 6, 2020 00:22
- Additional changes to ExpressionTransformer ([#4614](https://github.com/dotnet/machinelearning/pull/4614))

## **Test updates**
- **Code analysis updates**

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We don't ship code analyzer to our nuget users, why is this relevant to release notes?

CC: @eerhardt


## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))

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We don't ship to users either.

## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))
- Enable the internal code analyzer for test projects ([#4731](https://github.com/dotnet/machinelearning/pull/4731))

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This is not shipped to the nuget users.

- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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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How is collect crash dump relevant to nuget users? It will almost make them feel their data is being collected.

- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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))
- Enable Conditional Numerical Reproducibility for tests ([#4569](https://github.com/dotnet/machinelearning/pull/4569))

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This is specific to test projects, we don't ship test projects.

- 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))
- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))

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We don't ship tests.

- 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))

## **Test updates**

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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?

- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))

## **CLI and AutoML API**
- CodeGen For AzureAttach ([#4498](https://github.com/dotnet/machinelearning/pull/4498))

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We don't want user aware of this change because this is only for ModelBuilder Azure Attach story

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plase add

  • Using invariance culture when converting to string ( #4635 )
    and
  • Fix NullReferenceException when it comes to Recommendation in AutoML and CodeGenerator ( #4774 )

Thanks

- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageClassificationTrainer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))

@codemzscodemzsFeb 6, 2020

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this is ImagLoading transform not ImageClassification trainer, two very different things, one is a transformer and other is a trainer. #Resolved


## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))
- **LDSVM Trainer** ([#4060](https://github.com/dotnet/machinelearning/pull/4060))

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LDSVM Traine [](start = 4, length = 12)

Describe what this trainer is and where it is used and then provide links to samples. #Resolved

@justinormontjustinormontFeb 6, 2020

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thanks and in addition I would also
expand LDSVM acronym. #Resolved

@justinormontjustinormontFeb 6, 2020

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"Local Deep SVM" #Resolved

# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))

@codemzscodemzsFeb 6, 2020

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TimeSeriesImputer [](start = 4, length = 17)

Describe what this transformer is and where it is used and then provide links to samples. #Resolved



## **Bug Fixes**
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
```#Resolved

- 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))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
```#Resolved

- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageLoadingTransformer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))
- Sweep Trimming of Whitespace in AutoML ([#3918](https://github.com/dotnet/machinelearning/pull/3918))

@justinormontjustinormontFeb 6, 2020

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This isn't in master; only in the AutoML branch. After testing it should be cherry picked to master. No need to mention here. #Resolved


## **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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'usess' -> 'uses'

Comment threaddocs/release-notes/1.5.0-preview2/release-1.5.0-preview2.md
# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **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.

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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

@harishsk
harishsk merged commit 7c6beef into dotnet:masterMar 12, 2020
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Release notes for v1.5.0-preview2 - #4787

Merged
harishsk merged 6 commits into
dotnet:masterfrom
harishsk:releaseNotes
Mar 12, 2020
Merged

Release notes for v1.5.0-preview2#4787
harishsk merged 6 commits into
dotnet:masterfrom
harishsk:releaseNotes

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@harishsk
harishsk requested a review from a team as a code ownerFebruary 6, 2020 00:22
- Additional changes to ExpressionTransformer ([#4614](https://github.com/dotnet/machinelearning/pull/4614))

## **Test updates**
- **Code analysis updates**

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We don't ship code analyzer to our nuget users, why is this relevant to release notes?

CC: @eerhardt


## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))

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We don't ship to users either.

## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))
- Enable the internal code analyzer for test projects ([#4731](https://github.com/dotnet/machinelearning/pull/4731))

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This is not shipped to the nuget users.

- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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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How is collect crash dump relevant to nuget users? It will almost make them feel their data is being collected.

- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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))
- Enable Conditional Numerical Reproducibility for tests ([#4569](https://github.com/dotnet/machinelearning/pull/4569))

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This is specific to test projects, we don't ship test projects.

- 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))
- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))

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We don't ship tests.

- 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))

## **Test updates**

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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?

- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))

## **CLI and AutoML API**
- CodeGen For AzureAttach ([#4498](https://github.com/dotnet/machinelearning/pull/4498))

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We don't want user aware of this change because this is only for ModelBuilder Azure Attach story

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plase add

  • Using invariance culture when converting to string ( #4635 )
    and
  • Fix NullReferenceException when it comes to Recommendation in AutoML and CodeGenerator ( #4774 )

Thanks

- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageClassificationTrainer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))

@codemzscodemzsFeb 6, 2020

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this is ImagLoading transform not ImageClassification trainer, two very different things, one is a transformer and other is a trainer. #Resolved


## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))
- **LDSVM Trainer** ([#4060](https://github.com/dotnet/machinelearning/pull/4060))

@codemzscodemzsFeb 6, 2020

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LDSVM Traine [](start = 4, length = 12)

Describe what this trainer is and where it is used and then provide links to samples. #Resolved

@justinormontjustinormontFeb 6, 2020

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thanks and in addition I would also
expand LDSVM acronym. #Resolved

@justinormontjustinormontFeb 6, 2020

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"Local Deep SVM" #Resolved

# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))

@codemzscodemzsFeb 6, 2020

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TimeSeriesImputer [](start = 4, length = 17)

Describe what this transformer is and where it is used and then provide links to samples. #Resolved



## **Bug Fixes**
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
```#Resolved

- 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))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
```#Resolved

- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageLoadingTransformer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))
- Sweep Trimming of Whitespace in AutoML ([#3918](https://github.com/dotnet/machinelearning/pull/3918))

@justinormontjustinormontFeb 6, 2020

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This isn't in master; only in the AutoML branch. After testing it should be cherry picked to master. No need to mention here. #Resolved


## **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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'usess' -> 'uses'

Comment threaddocs/release-notes/1.5.0-preview2/release-1.5.0-preview2.md
# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **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.

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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

@harishsk
harishsk merged commit 7c6beef into dotnet:masterMar 12, 2020
@ghostghost locked as resolved and limited conversation to collaborators Mar 19, 2022
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Release notes for v1.5.0-preview2 - #4787

Merged
harishsk merged 6 commits into
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Mar 12, 2020
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Release notes for v1.5.0-preview2#4787
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harishsk requested a review from a team as a code ownerFebruary 6, 2020 00:22
- Additional changes to ExpressionTransformer ([#4614](https://github.com/dotnet/machinelearning/pull/4614))

## **Test updates**
- **Code analysis updates**

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We don't ship code analyzer to our nuget users, why is this relevant to release notes?

CC: @eerhardt


## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))

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We don't ship to users either.

## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))
- Enable the internal code analyzer for test projects ([#4731](https://github.com/dotnet/machinelearning/pull/4731))

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This is not shipped to the nuget users.

- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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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How is collect crash dump relevant to nuget users? It will almost make them feel their data is being collected.

- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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))
- Enable Conditional Numerical Reproducibility for tests ([#4569](https://github.com/dotnet/machinelearning/pull/4569))

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This is specific to test projects, we don't ship test projects.

- 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))
- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))

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We don't ship tests.

- 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))

## **Test updates**

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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?

- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))

## **CLI and AutoML API**
- CodeGen For AzureAttach ([#4498](https://github.com/dotnet/machinelearning/pull/4498))

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We don't want user aware of this change because this is only for ModelBuilder Azure Attach story

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plase add

  • Using invariance culture when converting to string ( #4635 )
    and
  • Fix NullReferenceException when it comes to Recommendation in AutoML and CodeGenerator ( #4774 )

Thanks

- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageClassificationTrainer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))

@codemzscodemzsFeb 6, 2020

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this is ImagLoading transform not ImageClassification trainer, two very different things, one is a transformer and other is a trainer. #Resolved


## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))
- **LDSVM Trainer** ([#4060](https://github.com/dotnet/machinelearning/pull/4060))

@codemzscodemzsFeb 6, 2020

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LDSVM Traine [](start = 4, length = 12)

Describe what this trainer is and where it is used and then provide links to samples. #Resolved

@justinormontjustinormontFeb 6, 2020

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thanks and in addition I would also
expand LDSVM acronym. #Resolved

@justinormontjustinormontFeb 6, 2020

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"Local Deep SVM" #Resolved

# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))

@codemzscodemzsFeb 6, 2020

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TimeSeriesImputer [](start = 4, length = 17)

Describe what this transformer is and where it is used and then provide links to samples. #Resolved



## **Bug Fixes**
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
```#Resolved

- 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))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
```#Resolved

- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageLoadingTransformer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))
- Sweep Trimming of Whitespace in AutoML ([#3918](https://github.com/dotnet/machinelearning/pull/3918))

@justinormontjustinormontFeb 6, 2020

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This isn't in master; only in the AutoML branch. After testing it should be cherry picked to master. No need to mention here. #Resolved


## **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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'usess' -> 'uses'

Comment threaddocs/release-notes/1.5.0-preview2/release-1.5.0-preview2.md
# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **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.

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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

@harishsk
harishsk merged commit 7c6beef into dotnet:masterMar 12, 2020
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Release notes for v1.5.0-preview2 - #4787

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harishsk merged 6 commits into
dotnet:masterfrom
harishsk:releaseNotes
Mar 12, 2020
Merged

Release notes for v1.5.0-preview2#4787
harishsk merged 6 commits into
dotnet:masterfrom
harishsk:releaseNotes

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@harishsk
harishsk requested a review from a team as a code ownerFebruary 6, 2020 00:22
- Additional changes to ExpressionTransformer ([#4614](https://github.com/dotnet/machinelearning/pull/4614))

## **Test updates**
- **Code analysis updates**

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We don't ship code analyzer to our nuget users, why is this relevant to release notes?

CC: @eerhardt


## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))

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We don't ship to users either.

## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))
- Enable the internal code analyzer for test projects ([#4731](https://github.com/dotnet/machinelearning/pull/4731))

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This is not shipped to the nuget users.

- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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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How is collect crash dump relevant to nuget users? It will almost make them feel their data is being collected.

- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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))
- Enable Conditional Numerical Reproducibility for tests ([#4569](https://github.com/dotnet/machinelearning/pull/4569))

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This is specific to test projects, we don't ship test projects.

- 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))
- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))

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We don't ship tests.

- 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))

## **Test updates**

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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?

- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))

## **CLI and AutoML API**
- CodeGen For AzureAttach ([#4498](https://github.com/dotnet/machinelearning/pull/4498))

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We don't want user aware of this change because this is only for ModelBuilder Azure Attach story

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plase add

  • Using invariance culture when converting to string ( #4635 )
    and
  • Fix NullReferenceException when it comes to Recommendation in AutoML and CodeGenerator ( #4774 )

Thanks

- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageClassificationTrainer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))

@codemzscodemzsFeb 6, 2020

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this is ImagLoading transform not ImageClassification trainer, two very different things, one is a transformer and other is a trainer. #Resolved


## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))
- **LDSVM Trainer** ([#4060](https://github.com/dotnet/machinelearning/pull/4060))

@codemzscodemzsFeb 6, 2020

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LDSVM Traine [](start = 4, length = 12)

Describe what this trainer is and where it is used and then provide links to samples. #Resolved

@justinormontjustinormontFeb 6, 2020

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thanks and in addition I would also
expand LDSVM acronym. #Resolved

@justinormontjustinormontFeb 6, 2020

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"Local Deep SVM" #Resolved

# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))

@codemzscodemzsFeb 6, 2020

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TimeSeriesImputer [](start = 4, length = 17)

Describe what this transformer is and where it is used and then provide links to samples. #Resolved



## **Bug Fixes**
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
```#Resolved

- 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))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
```#Resolved

- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageLoadingTransformer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))
- Sweep Trimming of Whitespace in AutoML ([#3918](https://github.com/dotnet/machinelearning/pull/3918))

@justinormontjustinormontFeb 6, 2020

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This isn't in master; only in the AutoML branch. After testing it should be cherry picked to master. No need to mention here. #Resolved


## **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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'usess' -> 'uses'

Comment threaddocs/release-notes/1.5.0-preview2/release-1.5.0-preview2.md
# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **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.

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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

@harishsk
harishsk merged commit 7c6beef into dotnet:masterMar 12, 2020
@ghostghost locked as resolved and limited conversation to collaborators Mar 19, 2022
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@harishsk@codemzs@natke@justinormont@eerhardt@najeeb-kazmi@LittleLittleCloud
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Release notes for v1.5.0-preview2 - #4787

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Release notes for v1.5.0-preview2#4787
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harishsk requested a review from a team as a code ownerFebruary 6, 2020 00:22
- Additional changes to ExpressionTransformer ([#4614](https://github.com/dotnet/machinelearning/pull/4614))

## **Test updates**
- **Code analysis updates**

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We don't ship code analyzer to our nuget users, why is this relevant to release notes?

CC: @eerhardt


## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))

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We don't ship to users either.

## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))
- Enable the internal code analyzer for test projects ([#4731](https://github.com/dotnet/machinelearning/pull/4731))

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This is not shipped to the nuget users.

- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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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How is collect crash dump relevant to nuget users? It will almost make them feel their data is being collected.

- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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))
- Enable Conditional Numerical Reproducibility for tests ([#4569](https://github.com/dotnet/machinelearning/pull/4569))

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This is specific to test projects, we don't ship test projects.

- 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))
- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))

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We don't ship tests.

- 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))

## **Test updates**

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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?

- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))

## **CLI and AutoML API**
- CodeGen For AzureAttach ([#4498](https://github.com/dotnet/machinelearning/pull/4498))

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We don't want user aware of this change because this is only for ModelBuilder Azure Attach story

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plase add

  • Using invariance culture when converting to string ( #4635 )
    and
  • Fix NullReferenceException when it comes to Recommendation in AutoML and CodeGenerator ( #4774 )

Thanks

- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageClassificationTrainer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))

@codemzscodemzsFeb 6, 2020

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this is ImagLoading transform not ImageClassification trainer, two very different things, one is a transformer and other is a trainer. #Resolved


## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))
- **LDSVM Trainer** ([#4060](https://github.com/dotnet/machinelearning/pull/4060))

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LDSVM Traine [](start = 4, length = 12)

Describe what this trainer is and where it is used and then provide links to samples. #Resolved

@justinormontjustinormontFeb 6, 2020

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thanks and in addition I would also
expand LDSVM acronym. #Resolved

@justinormontjustinormontFeb 6, 2020

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"Local Deep SVM" #Resolved

# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))

@codemzscodemzsFeb 6, 2020

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TimeSeriesImputer [](start = 4, length = 17)

Describe what this transformer is and where it is used and then provide links to samples. #Resolved



## **Bug Fixes**
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
```#Resolved

- 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))

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Space:

Suggested change
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
```#Resolved

- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageLoadingTransformer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))
- Sweep Trimming of Whitespace in AutoML ([#3918](https://github.com/dotnet/machinelearning/pull/3918))

@justinormontjustinormontFeb 6, 2020

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This isn't in master; only in the AutoML branch. After testing it should be cherry picked to master. No need to mention here. #Resolved


## **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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'usess' -> 'uses'

Comment threaddocs/release-notes/1.5.0-preview2/release-1.5.0-preview2.md
# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **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.

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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

@harishsk
harishsk merged commit 7c6beef into dotnet:masterMar 12, 2020
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Release notes for v1.5.0-preview2 - #4787

Merged
harishsk merged 6 commits into
dotnet:masterfrom
harishsk:releaseNotes
Mar 12, 2020
Merged

Release notes for v1.5.0-preview2#4787
harishsk merged 6 commits into
dotnet:masterfrom
harishsk:releaseNotes

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@harishsk
harishsk requested a review from a team as a code ownerFebruary 6, 2020 00:22
- Additional changes to ExpressionTransformer ([#4614](https://github.com/dotnet/machinelearning/pull/4614))

## **Test updates**
- **Code analysis updates**

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We don't ship code analyzer to our nuget users, why is this relevant to release notes?

CC: @eerhardt


## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))

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We don't ship to users either.

## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))
- Enable the internal code analyzer for test projects ([#4731](https://github.com/dotnet/machinelearning/pull/4731))

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This is not shipped to the nuget users.

- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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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How is collect crash dump relevant to nuget users? It will almost make them feel their data is being collected.

- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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))
- Enable Conditional Numerical Reproducibility for tests ([#4569](https://github.com/dotnet/machinelearning/pull/4569))

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This is specific to test projects, we don't ship test projects.

- 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))
- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))

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We don't ship tests.

- 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))

## **Test updates**

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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?

- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))

## **CLI and AutoML API**
- CodeGen For AzureAttach ([#4498](https://github.com/dotnet/machinelearning/pull/4498))

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We don't want user aware of this change because this is only for ModelBuilder Azure Attach story

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plase add

  • Using invariance culture when converting to string ( #4635 )
    and
  • Fix NullReferenceException when it comes to Recommendation in AutoML and CodeGenerator ( #4774 )

Thanks

- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageClassificationTrainer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))

@codemzscodemzsFeb 6, 2020

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this is ImagLoading transform not ImageClassification trainer, two very different things, one is a transformer and other is a trainer. #Resolved


## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))
- **LDSVM Trainer** ([#4060](https://github.com/dotnet/machinelearning/pull/4060))

@codemzscodemzsFeb 6, 2020

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LDSVM Traine [](start = 4, length = 12)

Describe what this trainer is and where it is used and then provide links to samples. #Resolved

@justinormontjustinormontFeb 6, 2020

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thanks and in addition I would also
expand LDSVM acronym. #Resolved

@justinormontjustinormontFeb 6, 2020

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"Local Deep SVM" #Resolved

# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))

@codemzscodemzsFeb 6, 2020

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TimeSeriesImputer [](start = 4, length = 17)

Describe what this transformer is and where it is used and then provide links to samples. #Resolved



## **Bug Fixes**
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
```#Resolved

- 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))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
```#Resolved

- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageLoadingTransformer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))
- Sweep Trimming of Whitespace in AutoML ([#3918](https://github.com/dotnet/machinelearning/pull/3918))

@justinormontjustinormontFeb 6, 2020

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This isn't in master; only in the AutoML branch. After testing it should be cherry picked to master. No need to mention here. #Resolved


## **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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'usess' -> 'uses'

Comment threaddocs/release-notes/1.5.0-preview2/release-1.5.0-preview2.md
# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **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.

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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

@harishsk
harishsk merged commit 7c6beef into dotnet:masterMar 12, 2020
@ghostghost locked as resolved and limited conversation to collaborators Mar 19, 2022
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Release notes for v1.5.0-preview2 - #4787

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Release notes for v1.5.0-preview2#4787
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harishsk requested a review from a team as a code ownerFebruary 6, 2020 00:22
- Additional changes to ExpressionTransformer ([#4614](https://github.com/dotnet/machinelearning/pull/4614))

## **Test updates**
- **Code analysis updates**

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We don't ship code analyzer to our nuget users, why is this relevant to release notes?

CC: @eerhardt


## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))

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We don't ship to users either.

## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))
- Enable the internal code analyzer for test projects ([#4731](https://github.com/dotnet/machinelearning/pull/4731))

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This is not shipped to the nuget users.

- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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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How is collect crash dump relevant to nuget users? It will almost make them feel their data is being collected.

- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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))
- Enable Conditional Numerical Reproducibility for tests ([#4569](https://github.com/dotnet/machinelearning/pull/4569))

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This is specific to test projects, we don't ship test projects.

- 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))
- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))

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We don't ship tests.

- 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))

## **Test updates**

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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?

- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))

## **CLI and AutoML API**
- CodeGen For AzureAttach ([#4498](https://github.com/dotnet/machinelearning/pull/4498))

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We don't want user aware of this change because this is only for ModelBuilder Azure Attach story

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plase add

  • Using invariance culture when converting to string ( #4635 )
    and
  • Fix NullReferenceException when it comes to Recommendation in AutoML and CodeGenerator ( #4774 )

Thanks

- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageClassificationTrainer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))

@codemzscodemzsFeb 6, 2020

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this is ImagLoading transform not ImageClassification trainer, two very different things, one is a transformer and other is a trainer. #Resolved


## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))
- **LDSVM Trainer** ([#4060](https://github.com/dotnet/machinelearning/pull/4060))

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LDSVM Traine [](start = 4, length = 12)

Describe what this trainer is and where it is used and then provide links to samples. #Resolved

@justinormontjustinormontFeb 6, 2020

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thanks and in addition I would also
expand LDSVM acronym. #Resolved

@justinormontjustinormontFeb 6, 2020

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"Local Deep SVM" #Resolved

# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))

@codemzscodemzsFeb 6, 2020

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TimeSeriesImputer [](start = 4, length = 17)

Describe what this transformer is and where it is used and then provide links to samples. #Resolved



## **Bug Fixes**
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
```#Resolved

- 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))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
```#Resolved

- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageLoadingTransformer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))
- Sweep Trimming of Whitespace in AutoML ([#3918](https://github.com/dotnet/machinelearning/pull/3918))

@justinormontjustinormontFeb 6, 2020

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This isn't in master; only in the AutoML branch. After testing it should be cherry picked to master. No need to mention here. #Resolved


## **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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'usess' -> 'uses'

Comment threaddocs/release-notes/1.5.0-preview2/release-1.5.0-preview2.md
# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **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.

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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

@harishsk
harishsk merged commit 7c6beef into dotnet:masterMar 12, 2020
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@harishsk@codemzs@natke@justinormont@eerhardt@najeeb-kazmi@LittleLittleCloud
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Release notes for v1.5.0-preview2 - #4787

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harishsk merged 6 commits into
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harishsk:releaseNotes
Mar 12, 2020
Merged

Release notes for v1.5.0-preview2#4787
harishsk merged 6 commits into
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harishsk requested a review from a team as a code ownerFebruary 6, 2020 00:22
- Additional changes to ExpressionTransformer ([#4614](https://github.com/dotnet/machinelearning/pull/4614))

## **Test updates**
- **Code analysis updates**

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We don't ship code analyzer to our nuget users, why is this relevant to release notes?

CC: @eerhardt


## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))

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We don't ship to users either.

## **Test updates**
- **Code analysis updates**
- Update analyzer test library ([#4740](https://github.com/dotnet/machinelearning/pull/4740))
- Enable the internal code analyzer for test projects ([#4731](https://github.com/dotnet/machinelearning/pull/4731))

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This is not shipped to the nuget users.

- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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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How is collect crash dump relevant to nuget users? It will almost make them feel their data is being collected.

- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))
- 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))
- Enable Conditional Numerical Reproducibility for tests ([#4569](https://github.com/dotnet/machinelearning/pull/4569))

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This is specific to test projects, we don't ship test projects.

- 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))
- **Better logging from tests**
- Ensure tests capture the full log ([#4710](https://github.com/dotnet/machinelearning/pull/4710))

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We don't ship tests.

- 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))

## **Test updates**

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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?

- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))

## **CLI and AutoML API**
- CodeGen For AzureAttach ([#4498](https://github.com/dotnet/machinelearning/pull/4498))

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We don't want user aware of this change because this is only for ModelBuilder Azure Attach story

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plase add

  • Using invariance culture when converting to string ( #4635 )
    and
  • Fix NullReferenceException when it comes to Recommendation in AutoML and CodeGenerator ( #4774 )

Thanks

- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageClassificationTrainer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))

@codemzscodemzsFeb 6, 2020

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this is ImagLoading transform not ImageClassification trainer, two very different things, one is a transformer and other is a trainer. #Resolved


## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))
- **LDSVM Trainer** ([#4060](https://github.com/dotnet/machinelearning/pull/4060))

@codemzscodemzsFeb 6, 2020

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LDSVM Traine [](start = 4, length = 12)

Describe what this trainer is and where it is used and then provide links to samples. #Resolved

@justinormontjustinormontFeb 6, 2020

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thanks and in addition I would also
expand LDSVM acronym. #Resolved

@justinormontjustinormontFeb 6, 2020

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"Local Deep SVM" #Resolved

# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **New Features (IN-PREVIEW, please provide feedback)**
- **TimeSeriesImputer** ([#4623](https://github.com/dotnet/machinelearning/pull/4623))

@codemzscodemzsFeb 6, 2020

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TimeSeriesImputer [](start = 4, length = 17)

Describe what this transformer is and where it is used and then provide links to samples. #Resolved



## **Bug Fixes**
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
- Fix for OneVersusAllTrainer([#4698](https://github.com/dotnet/machinelearning/pull/4698))
```#Resolved

- 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))

@justinormontjustinormontFeb 6, 2020

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Space:

Suggested change
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
- Other typo fixes:([#4628](https://github.com/dotnet/machinelearning/pull/4628), [#4685](https://github.com/dotnet/machinelearning/pull/4685))
```#Resolved

- Changed onnx export to append a .onnx string to column names to support better mapping to ML.NET output column names ([#4734](https://github.com/dotnet/machinelearning/pull/4734))
- TextLoader, BinaryLoader and SvmLightLoader now check the existence of the input file before training ([#4665](https://github.com/dotnet/machinelearning/pull/4665))
- ImageLoadingTransformer now checks the existence of input folder before training ([#4691]( https://github.com/dotnet/machinelearning/pull/4691))
- Sweep Trimming of Whitespace in AutoML ([#3918](https://github.com/dotnet/machinelearning/pull/3918))

@justinormontjustinormontFeb 6, 2020

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This isn't in master; only in the AutoML branch. After testing it should be cherry picked to master. No need to mention here. #Resolved


## **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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'usess' -> 'uses'

Comment threaddocs/release-notes/1.5.0-preview2/release-1.5.0-preview2.md
# [ML.NET](http://dot.net/ml) 1.5.0-preview2

## **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.

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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

@harishsk
harishsk merged commit 7c6beef into dotnet:masterMar 12, 2020
@ghostghost locked as resolved and limited conversation to collaborators Mar 19, 2022
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@harishsk@codemzs@natke@justinormont@eerhardt@najeeb-kazmi@LittleLittleCloud