public async Task GetPrediction(float[] image)
{
var digit = MinstDigit.FromList(image, false);
var prediction = ml.Predict(digit);
prediction.Label = prediction.Score.Select((value, index) => new { Value = value, Index = index }).Aggregate((a, b) => (a.Value > b.Value) ? a : b).Index;
await Clients.Caller.SendAsync("receivePrediction", image, prediction);
await Clients.All.SendAsync("receiveBackground", image, prediction);
}
public MLModel()
{
var pipeline = new LearningPipeline();
string dataPath = "./train.csv";
pipeline.Add(new TextLoader(dataPath).CreateFrom <MinstDigit>(separator: ',', useHeader: true));
pipeline.Add(new ColumnConcatenator("Features", MinstDigit.GetColumnNames()));
pipeline.Add(new StochasticDualCoordinateAscentClassifier());
_model = pipeline.Train <MinstDigit, MinstPrediction>();
this.Evaluate();
//this.Export();
}
public MinstPrediction Predict(MinstDigit digit)
{
return(_model.Predict(digit));
}
