private static void PredictSingle(IMLModelEngine <SampleObservation, SamplePrediction> mlModelScorer)
{
// Create sample data to do a single prediction with it
SampleObservation sampleData = CreateSingleDataSample();
// Make a single prediction
var resultprediction = mlModelScorer.Predict(sampleData);
Console.WriteLine($"=============== Single Prediction ===============");
Console.WriteLine($"Actual value: {sampleData.Fare_amount} | Predicted value: {resultprediction.Score}");
Console.WriteLine($"==================================================");
}
public static void BulkPredict(IMLModelEngine <SampleObservation, SamplePrediction> mlModelScorer,
string testDataFile, string predictionsFile)
{
MLContext mlContext = new MLContext();
IDataView bulkData = mlContext.Data.LoadFromTextFile <SampleObservation>(
path: testDataFile,
hasHeader: true,
separatorChar: ',');
Console.WriteLine($"=============== Multiple Predictions ===============");
IDataView predictions = mlModelScorer.PredictMany(bulkData);
Console.WriteLine(string.Format("Peek a few rows from Predictions: Showing {0} rows", 4));
PeekDataViewInConsole(predictions, 4);
Console.WriteLine($"");
using (var fs = new FileStream(predictionsFile, FileMode.Create, FileAccess.Write, FileShare.Write))
mlContext.Data.SaveAsText(predictions, fs);
Console.WriteLine($"Predictions file saved here: {predictionsFile}");
Console.WriteLine($"==================================================");
}
public PredictorController(IMLModelEngine <SampleObservation, SamplePrediction> modelEngine)
{
// Get the ML Model Engine injected, for scoring
_modelEngine = modelEngine;
}
