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Update to the latest ML.NET 0.11.0-preview-27428-4. #1
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The biggest issue to overcome was in BinaryClassification. Two trainers (Perceptron and Linear SVM) don't produce Probabilities, which means they aren't "calibrated" and can't get a evaluated as such. With that, it means their metrics don't produce Entropy.
Wow. This is impressive! Thank you very much! @eerhardt Wat would be a good time to merge this PR? I'll probably wait for your next official NuGet packages (ML and DataView), right? |
Yes, I think if you'd like to wait for But please feel free to give PR feedback now. The |
Is the heat map OK in your project? I have a lot of NaN values in the input matrix (a lot in Fare and all of the Age values). Most of these values are correctly filled out in the data set. It looks like the DataView does not react properly to missing values, or to the commas in the passenger name. But maybe I'm just running against an invalid combination of experimental NuGet packages (ML, DataView, CpuMath). |
Looks like the problem was that we switched I added |
AllowQuoting defaults to `false` now on the latest ML.NET.
A build in Release mode fails with "ilc.exe exited with code 1200". Is that because your daily packages at https://dotnet.myget.org/feed/dotnet-core/package/nuget/Microsoft.ML are debug builds? Or am I'm missing something? |
I'm not sure. I tried looking into it and saw that it was raising an OutOfMemory error during |
@XamlBrewer - I verified this is the same behvaior as building in Are you seeing it in the master branch? |
@XamlBrewer - ML.NET |
When you create a new UWP project in Visual Studio and hook the new NuGet v0.11.0 ML.NET to it, you also get the ilc.exe fail on a Release build. |
The biggest issue to overcome was in BinaryClassification. Two trainers (Perceptron and Linear SVM) don't produce Probabilities, which means they aren't "calibrated" and can't get a evaluated as such. With that, it means their metrics don't produce Entropy.
cc @XamlBrewer