private static void startTrainingCycle()
{
// erzeugt die RequestListener
Build.Do();
CRFBase.Build.Do();
// calculation of the termination condition for the seeding method
double[] averageRatioItoS = calculateTerminationConditionForSeeding();
// starting of TrainingCycle:
var trainingCycle = new TrainingEvaluationCycle();
var parameters = new TrainingEvaluationCycleInputParameters();
// take OLM variants we want to test, ISING and OLM_III (Default)
List <OLMVariant> variants = new List <OLMVariant>();
variants.Add(OLMVariant.Ising);
variants.Add(OLMVariant.Default);
// setting of transition probabilities
//var a = 0.5 + 0.15 * rdm.NextDouble();
var a = 0.85;
var b = 0.85;
double[,] transition = new double[2, 2] {
{ a, 1 - a }, { 1 - b, b }
};
#region modify graph
var pdbFile = PDBExt.Parse(RandomlySelectedPDBFile);
pdbFile.Name = RandomlySelectedPDBFileName;
// setzen der IsCore
var rasaRequest = new RequestRasa(pdbFile);
rasaRequest.RequestInDefaultContext();
foreach (var rasa in rasaRequest.Rasavalues)
{
rasa.Key.IsCore = rasa.Value <= 0.15;
}
var proteinGraph = CreateProteinGraph.Do(pdbFile, 7.0, ResidueNodeCenterDefinition.CAlpha).Values.First();
// graph trimmen
var trimmedGraph = trimGraph(pdbFile, proteinGraph);
// set real reference label of the graph
var nameWithChain = RandomlySelectedPDBFile.Substring(fileFolder.Length + 1, 6);
var interfacesList = new List <string>();
using (var reader = new StreamReader(InterfaceDefLocation))
{
var line = "";
while ((line = reader.ReadLine()) != null)
{
var nuss = nameWithChain;
if (line.StartsWith(nameWithChain))
{
interfacesList.Add(line.Substring(8));
}
}
}
foreach (var interfaceEntry in interfacesList)
{
var node = trimmedGraph.Nodes.FirstOrDefault(n => n.Data.Residue.Id.Equals(interfaceEntry));
if (node != null)
{
node.Data.ReferenceLabel = 1;
}
}
#endregion
//test
if (GraphVisualization)
{
var graph3D = trimmedGraph.Wrap3D(nd => new Node3DWrap <ResidueNodeData>(nd.Data)
{
ReferenceLabel = nd.Data.ReferenceLabel, X = nd.Data.X, Y = nd.Data.Y, Z = nd.Data.Z
});
new ShowGraph3D(graph3D).Request(RequestRunType.Background);
Thread.Sleep(120000);
}
var crfGraph = trimmedGraph.Convert <ResidueNodeData, CRFNodeData, SimpleEdgeData, CRFEdgeData,
ProteinGraphData, CRFGraphData>(nd => new CRFNodeData(nd.Data.Residue.Id)
{
X = nd.Data.X, Y = nd.Data.Y, Z = nd.Data.Z
}, ed => new CRFEdgeData(),
gd => new CRFGraphData());
crfGraph.SaveAsJSON("testGraph.txt");
// setting the MaximumTotalPatchSize based on the ratio calculated with the hermann data
int min = (int)(crfGraph.NodeCounter * averageRatioItoS[1]);
int max = (int)(crfGraph.NodeCounter * averageRatioItoS[2]);
int av = (int)(crfGraph.NodeCounter * averageRatioItoS[0]);
int MaximumTotalPatchSize = rdm.Next(min, max);
// set parameters for the training cycle
parameters = new TrainingEvaluationCycleInputParameters(crfGraph, NumberOfGraphInstances,
NumberOfSeedsForPatchCreation, MaximumTotalPatchSize, variants,
IsingConformityParameter, IsingCorrelationParameter, transition, NumberOfLabels, BufferSizeViterbi);
// running the cycle
trainingCycle.RunCycle(parameters);
}