/// <summary>
/// Runs the BPM using sparse features.
/// </summary>
/// <param name="numClasses">The number of classes</param>
/// <param name="noisePrecision">The noise precision</param>
/// <param name="numFeatures">The number of features</param>
/// <param name="trainingSetFile">The file containing the training set</param>
/// <param name="testSetIndices">The test set feature indices</param>
/// <param name="testSetValues">The test set feature values</param>
private static void RunSparseBPM(int numClasses, double noisePrecision, int numFeatures, string trainingSetFile, bool labelAtEnd, bool addBias, int[][] testSetIndices, double[][] testSetValues)
{
Console.WriteLine("\n------- Sparse BPM -------");
int[] labels;
int[][] indices;
double[][] values = DataUtils.Read(trainingSetFile, labelAtEnd, addBias, out labels, out indices);
BPMSparse bpmSparse = new BPMSparse(numClasses, noisePrecision, numFeatures);
Gaussian[][] posteriorWeights = bpmSparse.Train(indices, values, labels);
#if ShowWeights
Console.WriteLine("Weights=" + StringUtil.ArrayToString(posteriorWeights));
#endif
Console.WriteLine("\nPredictions:");
Discrete[] predictions = bpmSparse.Test(testSetIndices, testSetValues);
foreach (Discrete prediction in predictions)
Console.WriteLine(prediction);
Console.WriteLine();
}
private static void Test_BPM_Sparse(
int nClass, int totalFeatures, double noisePrec, string trainingFile,
int[][] xIndicesTest, double[][] xValuesTest)
{
Console.WriteLine("\n------- BPM Sparse -------");
Gaussian[][] wInferred;
int[][][] xIndices;
double[][][] xValues = DataFromFile.Read(trainingFile, nClass, out xIndices);
BPMSparse bpmSparse = new BPMSparse(nClass, totalFeatures, noisePrec);
bpmSparse.TrainingEngine.ShowProgress = false;
bpmSparse.TestEngine.ShowProgress = false;
//if want to see the Browser, uncomment this line
// bpmSparse.TrainingEngine.BrowserMode = BrowserMode.Always;
wInferred = bpmSparse.Train(xIndices, xValues);
#if ShowWeights
for (int i = 0; i < wInferred.GetLength(0); i++)
{
for (int j = 0; j < wInferred[i].Length; j++)
{
Console.WriteLine(wInferred[i][j].ToString());
}
}
#endif
Console.WriteLine("\nPredictions:");
Discrete[] predictions = bpmSparse.Test(xIndicesTest, xValuesTest);
foreach (Discrete pred in predictions)
Console.WriteLine(pred);
Console.WriteLine();
}