ML.NET Serialization Example

This repo is a sample application that shows how to use the newly introduced CollectionDataSource feature to load in data from files or System Collections. This is based off the MulticlassClassification_Iris sample on GitHub.

Requirements

This app was build on a Linux PC, but should work cross-platform on Mac and Windows

• .NET Core 2.0

Build Project

dotnet restore
dotnet build

Run Sample

dotnet run -p myconsoleapp/myconsoleapp.csproj

Sample Output:

Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off.
Using 2 threads to train.
Automatically choosing a check frequency of 2.
Auto-tuning parameters: maxIterations = 12498.
Auto-tuning parameters: L2 = 2.66752E-05.
Auto-tuning parameters: L1Threshold (L1/L2) = 0.
Using best model from iteration 6.
Not training a calibrator because it is not needed.

Actual: setosa.     Predicted probability: setosa:      0.3475
                                           versicolor:  0.3316
                                           virginica:   0.3209