public static void BulkPredict(SampleRegressionModelScorer modelScorer, string dataFile, string predictionsFile)
{
MLContext mlContext = modelScorer.MLContext;
//Load bulk sample data for many predictions
IDataView bulkData = mlContext.Data.LoadFromTextFile <SampleObservation>(
path: dataFile,
hasHeader: true,
separatorChar: ',');
Console.WriteLine($"=============== Multiple Predictions ===============");
// Get predictions in bulk
IDataView predictions = modelScorer.MLModel.Transform(bulkData);
Console.WriteLine(string.Format("Peek a few rows from Predictions: Showing {0} rows", 4));
PeekDataViewInConsole(predictions, 4);
Console.WriteLine($"");
// Save predictions in a file
using (var fs = new FileStream(predictionsFile, FileMode.Create, FileAccess.Write, FileShare.Write))
mlContext.Data.SaveAsText(predictions, fs);
Console.WriteLine($"Predictions file saved here: {predictionsFile}");
Console.WriteLine($"==================================================");
}
private static void PredictSingle(SampleRegressionModelScorer modelScorer)
{
// Create sample data to do a single prediction with it
SampleObservation sampleData = CreateSingleDataSample();
// Try a single prediction
var predictionResult = modelScorer.PredictionEngine.Predict(sampleData);
Console.WriteLine($"=============== Single Prediction ===============");
Console.WriteLine($"Actual value: {sampleData.Fare_amount} | Predicted value: {predictionResult.Score}");
Console.WriteLine($"==================================================");
}
static void Main(string[] args)
{
// Create ML model scorer object
SampleRegressionModelScorer modelScorer = new SampleRegressionModelScorer(MODEL_FILE_PATH);
// 1. Test single sample prediction
PredictSingle(modelScorer);
// 2. Perform multiple predictions and save them to a file
BulkPredict(modelScorer, DATA_PATH, PREDICTIONS_PATH);
Console.WriteLine("=============== End of process, hit any key to finish ===============");
Console.ReadKey();
}
