private static void TestSomePredictions(MLContext mlContext)
{
//Test Classification Predictions with some hard-coded samples
var modelScorer = new Common.ModelScorer <IrisData, IrisPrediction>(mlContext);
modelScorer.LoadModelFromZipFile(ModelPath);
var prediction = modelScorer.PredictSingle(SampleIrisData.Iris1);
Console.WriteLine($"Actual: setosa. Predicted probability: setosa: {prediction.Score[0]:0.####}");
Console.WriteLine($" versicolor: {prediction.Score[1]:0.####}");
Console.WriteLine($" virginica: {prediction.Score[2]:0.####}");
Console.WriteLine();
prediction = modelScorer.PredictSingle(SampleIrisData.Iris2);
Console.WriteLine($"Actual: virginica. Predicted probability: setosa: {prediction.Score[0]:0.####}");
Console.WriteLine($" versicolor: {prediction.Score[1]:0.####}");
Console.WriteLine($" virginica: {prediction.Score[2]:0.####}");
Console.WriteLine();
prediction = modelScorer.PredictSingle(SampleIrisData.Iris3);
Console.WriteLine($"Actual: versicolor. Predicted probability: setosa: {prediction.Score[0]:0.####}");
Console.WriteLine($" versicolor: {prediction.Score[1]:0.####}");
Console.WriteLine($" virginica: {prediction.Score[2]:0.####}");
Console.WriteLine();
}
public static void Predict(MLContext mlContext, ITransformer model)
{
//Test Classification Predictions with some hard-coded samples
var modelScorer = new Common.ModelScorer <IrisData, IrisPrediction>(mlContext, model);
var prediction = modelScorer.PredictSingle(SampleIrisData.Iris1);
}