Issues with .NET 5.0

[kant2002]

I attempt to re-target solution to .NET 5.0 and found couple issues

• Hardcoded paths c:\Users\minka\Downloads\rcv1. https://github.com/dotnet/infer/blob/master/test/Tests/BpmSpeedTests.cs#L109
• Usage of BinaryFormatter. It is disabled by default in .NET 5.0 and gives compilation errors. https://github.com/dotnet/infer/blob/master/test/Tests/BpmSpeedTests.cs#L140
• Redundant checks due to incorrect (?) usage of ReferenceEquals https://github.com/dotnet/infer/blob/master/test/Tests/Distributions/DistributionTests.cs#L1013
• dotnet build -c DebugCore produces Exception during build ClassifierModels.csproj somewhere inside Microsoft.ML.Probabilistic.Compiler.ModelCompiler.CompileWithoutParams. Have to post that later if needed.
• dotnet build -c DebugFull produces FSC : error FS0078: Unable to find the file 'netstandard.dll' in any of ..... (See FSC : error FS0078: Unable to find the file 'netstandard.dll' fsharp#10009)
• dotnet build -c DebugCore produces 'error : Expected file "obj\DebugCore\net5.0\ref\TestFSharp.dll" does not exist' (See Cannot compile console app on .NET 5.0 fsharp#10012)

[kant2002]

@tminka I can take a look at these problems myself, but BinaryFormatter usage indicates on possible internal testing process which I cannot guess how to replace. Do you interested in me pursuing these changes?

[tminka]

There is no need to use BinaryFormatter there. It is only storing the results of one test to be used in another test. Also, those tests are developer tests, not unit tests. You can comment out the offending lines and leave a TODO to have them fixed later. Thanks.

[kant2002]

@tminka I think I made necessary change for BinaryFormatter.

[kant2002]

Except first one item in the list everything is done. and #273 can be looked at.

[YnnamTenob]

@tminka I added this issue regarding Binary Serialization - Binary Formatter. I see the code change @kant2002 made w.r.t. to that test but is there a solution for actually serializing in the .Net 5.0 environment. for example with incremental learning models?