private static void Test_BPMIncremental(
int nClass, int totalFeatures, double noisePrec, int maxItemsInBatch,
int nChunks, string trainingFile, Vector[] testData)
{
Console.WriteLine("\n------- BPM Train Incremental -------");
VectorGaussian[] wInfer = new VectorGaussian[nClass];
BPM bpmIncremental = new BPM(nClass, totalFeatures, noisePrec);
bpmIncremental.TrainingEngine.ShowProgress = false;
bpmIncremental.TestEngine.ShowProgress = false;
int LocToStart = 0;
for (int c = 0; c < nChunks; c++)
{
List<Vector>[] dataChunks = DataFromFile.Read(trainingFile, nClass, maxItemsInBatch, ref LocToStart);
wInfer = bpmIncremental.TrainIncremental(dataChunks);
}
#if ShowWeights
for (int i = 0; i < wInfer.GetLength(0); i++)
{
Console.WriteLine(wInfer[i].ToString());
}
#endif
Console.WriteLine("\nPredictions:");
Discrete[] predictions = bpmIncremental.Test(testData);
foreach (Discrete pred in predictions)
Console.WriteLine(pred);
Console.WriteLine();
}
private static void Test_BPM_Shared(int nClass, int totalFeatures, double noisePrec, int maxItemsInBatch, int nChunks, string trainingFile, Vector[] testData)
{
Console.WriteLine("\n------- BPM Shared -------");
VectorGaussian[] wInfer = new VectorGaussian[nClass];
BPM_Shared bpmShared = new BPM_Shared(nClass, totalFeatures, noisePrec, nChunks, 1);
bpmShared.TrainingEngine.ShowProgress = false;
bpmShared.TestEngine.ShowProgress = false;
// Several passes to achieve convergence
for (int pass = 0; pass < 15; pass++)
{
int LocToStart = 0;
// Loop over chunks
for (int c = 0; c < nChunks; c++)
{
List<Vector>[] dataChunks = DataFromFile.Read(trainingFile, nClass, maxItemsInBatch, ref LocToStart);
wInfer = bpmShared.Train(dataChunks, c);
}
}
#if ShowWeights
for (int i = 0; i < wInfer.GetLength(0); i++)
{
Console.WriteLine(wInfer[i]);
}
#endif
Console.WriteLine("\nPredictions:");
Discrete[] predictions = bpmShared.Test(testData, 0);
foreach (Discrete pred in predictions)
Console.WriteLine(pred);
Console.WriteLine();
}