public static void CreateGestureClassifier(Config config, double[][] trainData, int[] targets, Action <Classifier> callback)
{
TrainingArgs trainingArgs;
switch (config)
{
case Config.Gesture:
trainingArgs = new TrainingArgs(
classifier: new Classifier(numInputs: 33, numHiddenNeurons: 11),
trainData: trainData,
targets: targets,
trainRate: 0.5,
targetError: 0.05,
maxEpochs: 3000,
maxRestarts: 20,
callback: callback
);
break;
default:
throw new ArgumentException("Unhandled config: " + config);
}
new Thread(Create).Start(trainingArgs);
}
private static void Create(object obj)
{
if (!(obj is TrainingArgs))
{
throw new ArgumentException("Object is not of type " + typeof(TrainingArgs).FullName);
}
TrainingArgs args = (TrainingArgs)obj;
Classifier classifier = args.Classifier;
classifier.Train(args.TrainData, args.Targets, args.TrainRate, args.TargetError, args.MaxEpochs, args.MaxRestarts);
args.Callback(classifier);
}
static void Main(string[] args)
{
var fastText = new FastTextWrapper();
fastText.Train(@"C:\_Models\cooking.train.txt", @"C:\_Models\cooking", TrainingArgs.SupervisedDefaults(x =>
{
x.Epochs = 25;
x.LearningRate = 1.0;
x.WordNGrams = 3;
x.Verbose = 2;
x.MinCharNGrams = 3;
x.MaxCharNGrams = 6;
}));
//fastText.LoadModel(@"C:\_Models\fasttext.bin");
var prediction = fastText.PredictSingle("what is the difference between a new york strip and a bone-in new york cut sirloin ?");
}
