static void ExampleML4()
{
string file_path_ser = @"D:\Dropbox\TestData\ML4\brains_dataset.ser";
IDataSetHybrid data_set_hybrid_unlabeled = null;
if (File.Exists(file_path_ser))
{
try
{
data_set_hybrid_unlabeled = DataSetHybrid.Read(new BinaryReader(File.Open(file_path_ser, FileMode.Open)));
}
catch (Exception)
{
data_set_hybrid_unlabeled = null;
}
}
if (data_set_hybrid_unlabeled == null)
{
IDataSet <int> data_set0 = ReadExcellNominal(@"D:\Dropbox\TestData\ML4\brains_ml.xlsx");
data_set_hybrid_unlabeled = CleanUpML4(data_set0);
ToolsIOSerialization.SerializeToFile(file_path_ser, data_set_hybrid_unlabeled);
}
IDataSet <int> data_set_nominal_unlabeled = data_set_hybrid_unlabeled.ConvertToNominal(5);
IDataSet <int, int> data_set_nominal_labeled = data_set_nominal_unlabeled.PromoteFeatureToLabel(0);
Tuple <IDataSet <int, int>, IDataSet <int, int> > split = data_set_nominal_labeled.Split();
IDataSet <int, int> training_set = split.Item1;
IDataSet <int, int> test_set = split.Item2;
ProccessDataSetNominalJoinTable(training_set, test_set);
}
public void TestTrivial1(IAlphaPartitionTreeBuilder <float, float> builder)
{
ImageRaster3D <float> image = new ImageRaster3D <float>(10, 10, 10);
ITopologyElementEdge element_topology = new TopologyElementRaster3D6Connectivity(image.Raster).GetElementEdgeRasterTopology();
IFunctionDissimilarity <float, float> edge_function = new FunctionDistanceAbsoluteDifference();
IAlphaPartitionTree <float> tree = builder.BuildAlphaPartitionTree(element_topology, edge_function, image.GetElementValues(false));
Assert.AreEqual(1000, tree.GetRealElementsIndexesWithMaxAlfa(0, 0).Length);
Assert.AreEqual(3700, tree.GetFullElementsIndexesWithMaxAlfa(0, 0).Length);
ToolsIOSerialization.SerializeToFile(@"E:\Data\Dropbox\Dropbox\TestData\Tree.blb", tree);
}