/// <summary>
/// Use your model to make a prediction
/// You can change these numbers to test different predictions
/// </summary>
/// <typeparam name="TSrc"></typeparam>
/// <typeparam name="TDst"></typeparam>
/// <param name="dataPath"></param>
/// <param name="parameters"></param>
/// <param name="inputData"></param>
/// <returns></returns>
public static TDst Predict <TSrc, TDst>(string dataPath, string[] parameters, TSrc inputData)
where TSrc : class
where TDst : class, new()
{
// Create a ML.NET environment
MLContext mlContext = new MLContext();
IDataView trainingDataView = mlContext.LoadTrainingData <TSrc>(dataPath, inputData);
EstimatorChain <KeyToValueMappingTransformer> learningPipeline = mlContext.GetLearningPipeline(parameters);
TransformerChain <KeyToValueMappingTransformer> model = trainingDataView.TrainModel(learningPipeline);
PredictionFunction <TSrc, TDst> prediction = model.MakePredictionFunction <TSrc, TDst>(mlContext);
TDst result = prediction.Predict(inputData);
return(result);
}
