private static void TrainLowLevel()
{
using (var fastText = new FastTextWrapper())
{
fastText.Train(@"D:\__Models\cooking.train.txt", @"D:\__Models\cooking", new FastTextArgs
{
});
}
}
public void CanTrainModelWithOldApi()
{
var fastText = new FastTextWrapper(loggerFactory: _loggerFactory);
string outPath = Path.Combine(_tempDir, "cooking");
fastText.Train("cooking.train.txt", outPath, FastTextArgs.SupervisedDefaults());
CheckLabels(fastText.GetLabels());
File.Exists(outPath + ".bin").Should().BeTrue();
File.Exists(outPath + ".vec").Should().BeTrue();
}
private static void TrainSupervised(FastTextWrapper fastText, string trainFile, string modelFile)
{
fastText.Train(trainFile, modelFile, SupervisedArgs.SupervisedDefaults(
x =>
{
x.Epochs = 25;
x.LearningRate = 1.0;
x.WordNGrams = 3;
x.Verbose = 2;
x.LabelPrefix = "__label__";
}));
}
private static void TrainSupervised()
{
using (var fastText = new FastTextWrapper())
{
fastText.Train(@"D:\__Models\cooking.train.txt", @"D:\__Models\cooking", SupervisedArgs.SupervisedDefaults(x =>
{
x.Epochs = 25;
x.LearningRate = 1.0;
x.WordNGrams = 3;
x.Verbose = 2;
x.LabelPrefix = "__label__";
}));
}
}
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 ?");
}
private static void TrainLowLevel(FastTextWrapper fastText, string trainFile, string modelFile)
{
fastText.Train(trainFile, modelFile, new FastTextArgs
{
});
}
