PredictEvaluateSave

public BikeSharingDemandPrediction Predict(BikeSharingDemandSample sample)
{
    return _predictionEngine.Predict(sample);
}

public RegressionMetrics Evaluate(string testDataLocation)
{
    var testDataView = _mlContext.Data.LoadFromTextFile<BikeSharingDemandSample>(
                                path: testDataLocation,
                                hasHeader: true,
                                separatorChar: ',',
                                allowQuoting: true,
                                allowSparse: false);
    var predictions = _trainedModel.Transform(testDataView);
    return _mlContext.Regression.Evaluate(predictions, "Label", "Score");
}

public void SaveModel()
{
    _mlContext.Model.Save(_trainedModel, _trainingDataView.Schema, "./BikeSharingDemandsModel.zip");
}