public static void PredictConformity()
{
ITransformer loadedModel;
using (var stream = new FileStream(_modelPath, FileMode.Open, FileAccess.Read, FileShare.Read))
{
loadedModel = _mlContext.Model.Load(stream);
}
СonformChecker singleConf = new СonformChecker()
{
Name = "котировка"
};
_predEngine = loadedModel.CreatePredictionEngine <СonformChecker, CheckerPrediction>(_mlContext);
var prediction = _predEngine.Predict(singleConf);
Console.WriteLine($"=============== Single Prediction - Result: {prediction.Con} ===============");
}
public static EstimatorChain <KeyToValueMappingTransformer> BuildAndTrainModel(IDataView trainingDataView, EstimatorChain <ITransformer> pipeline)
{
var trainer = new SdcaMultiClassTrainer(_mlContext, DefaultColumnNames.Label, DefaultColumnNames.Features);
var trainingPipeline = pipeline.Append(trainer)
.Append(_mlContext.Transforms.Conversion.MapKeyToValue("PredictedLabel"));
Console.WriteLine($"=============== Training the model ===============");
_trainedModel = trainingPipeline.Fit(trainingDataView);
Console.WriteLine($"=============== Finished Training the model Ending time: {DateTime.Now.ToString()} ===============");
Console.WriteLine($"=============== Single Prediction just-trained-model ===============");
_predEngine = _trainedModel.CreatePredictionEngine <СonformChecker, CheckerPrediction>(_mlContext);
СonformChecker conf = new СonformChecker()
{
Name = "Электронный аукцион"
};
var prediction = _predEngine.Predict(conf);
Console.WriteLine($"=============== Single Prediction just-trained-model - Result: {prediction.Con} ===============");
SaveModelAsFile(_mlContext, _trainedModel);
return(trainingPipeline);
}
