private static void SaveModelAsFile(LocalEnvironment env, TransformerChain <BinaryPredictionTransformer <Microsoft.ML.Runtime.Internal.Internallearn.IPredictorWithFeatureWeights <float> > > model)
{
using (var fs = new FileStream(ModelPath, FileMode.Create, FileAccess.Write, FileShare.Write))
model.SaveTo(env, fs);
Console.WriteLine("The model is saved to {0}", ModelPath);
}
private static void SaveModelAsFile(LocalEnvironment env, TransformerChain <ClusteringPredictionTransformer <KMeansPredictor> > model)
{
using (var fs = new FileStream(ModelPath, FileMode.Create, FileAccess.Write, FileShare.Write))
model.SaveTo(env, fs);
Console.WriteLine("The model is saved to {0}", ModelPath);
}
private static void PerformStep6(TransformerChain <RegressionPredictionTransformer <LinearRegressionPredictor> > trainedModel, IHostEnvironment mlContext)
{
byte[] bytes;
using (var stream = new MemoryStream())
{
trainedModel.SaveTo(mlContext, stream);
bytes = stream.ToArray();
}
Redis.GetDatabase(1).StringSet("tm", bytes);
}