public static GWGraph <TrainingInputNodeData, TrainingInputEdgeData, TrainingInputGraphData> ExampleData()
{
var rdm = new Random();
var graph = GWGraphpackageOne.GWString <TrainingInputNodeData, TrainingInputEdgeData, TrainingInputGraphData>(6);
graph.Data = new TrainingInputGraphData();
graph.Data.ObservationToCRFScoreProbability = new double[5, 5];
for (int i = 0; i < 5; i++)
{
for (int k = 0; k < 5; k++)
{
graph.Data.ObservationToCRFScoreProbability[i, k] = rdm.NextDouble();
}
}
foreach (var node in graph.Nodes)
{
node.Data = new TrainingInputNodeData();
node.Data.Observation = rdm.Next(5);
}
foreach (var edge in graph.Edges)
{
edge.Data = new TrainingInputEdgeData();
}
return(graph);
}
public GWGraph <CRFNodeData, CRFEdgeData, CRFGraphData> CreateTestGraphCRF()
{
var graph = GWGraphpackageOne.ThreeCoreElements <CRFNodeData, CRFEdgeData, CRFGraphData>(32);
graph.Data = new CRFGraphData();
foreach (var node in graph.Nodes)
{
node.Data = new CRFNodeData();
}
foreach (var edge in graph.Edges)
{
edge.Data = new CRFEdgeData();
}
var NumberOfSeedsForPatchCreation = 2;
var MaximumTotalPatchSize = 12;
var seedingMethodPatchCreation = new SeedingMethodPatchCreation(NumberOfSeedsForPatchCreation, MaximumTotalPatchSize);
seedingMethodPatchCreation.CreatePatchAndSetAsReferenceLabel(graph);
graph.SaveAsJSON("testgraph.crf");
return(graph);
}
static void Main(string[] args)
{
CRFBase.Build.Do();
// als Referenz folgende Klasse:
//var oldWorkFlow = new WorkflowPede();
//WorkflowPede.Start(null);
{ // example Gradient Descent
//var request = new ExecuteGradientDescent();
//request.Request();
//Console.Write(request.Result);
}
{ // example viterbi
var graph = GWGraphpackageOne.GWString <CRFNodeData, CRFEdgeData, CRFGraphData>(12);
foreach (var node in graph.Nodes)
{
node.Data = new CRFNodeData();
node.Data.Scores = new double[] { 1, 2 };
}
foreach (var edge in graph.Edges)
{
edge.Data = new CRFEdgeData();
edge.Data.Scores = new double[, ] {
{ -11, 1 }, { 2, -22 }
};
}
var request = new SolveInference(graph, 2, 100);
request.Request();
foreach (var entry in request.Solution.Labeling)
{
Console.Write(entry);
Console.ReadKey();
}
}
}
public static void Do(int graphSizes)
{
//new FileLogger("GraphAnalysis(" + graphSizes + ").txt");
var graphs = GWGraphpackageOne.DefaultPackage <object, object, object>(graphSizes);
foreach (var graph in graphs)
{
var request = new GraphAnalyse(graph);
request.RequestInDefaultContext();
using (var writer = new StreamWriter(graph.Name + "-data.txt"))
{
writer.WriteLine("AnalysisResult: " + graph.Name);
writer.Write(writer.NewLine);
writer.WriteLine("Nodes: " + graph.Nodes.Count);
writer.WriteLine("Edges: " + graph.Edges.Count);
writer.WriteLine("Diameter: " + request.Result.ShortestPaths.Max(l => l.NotNullOrEmpty() ? l.Max() : 0.0));
writer.WriteLine("Average MaxShortestPath: " + request.Result.ShortestPaths.Average(l => l.NotNullOrEmpty() ? l.Max() : 0.0));
writer.WriteLine("Average ClusterCoefficient: " + request.Result.ClusterCoefficients.Average());
writer.Write(writer.NewLine);
writer.WriteLine("ConnectionProbability By Distance: ");
for (int i1 = 0; i1 < request.Result.ConProbByDistance.Length; i1++)
{
writer.Write("[" + i1 + "]" + ":");
for (int i2 = 0; i2 < request.Result.ConProbByDistance[i1].Length; i2++)
{
writer.Write(" " + Math.Round(request.Result.ConProbByDistance[i1][i2], 2) + ",");
}
writer.WriteLine();
}
writer.Write(writer.NewLine);
writer.WriteLine("CluserCoefficients: ");
for (int i1 = 0; i1 < request.Result.ClusterCoefficients.Length; i1++)
{
writer.WriteLine("[" + i1 + "]" + ": " + request.Result.ClusterCoefficients[i1]);
}
writer.Write(writer.NewLine);
writer.WriteLine("ShortestPaths (Max, Average): ");
for (int i1 = 0; i1 < request.Result.ShortestPaths.Length; i1++)
{
writer.WriteLine("[" + i1 + "]" + ": (" + request.Result.ShortestPaths[i1].Max() + ", " + request.Result.ShortestPaths[i1].Average() + ")");
}
//writer.WriteLine("ShortestPaths: ");
//for (int i1 = 0; i1 < request.Result.ShortestPaths.GetLength(0); i1++)
//{
// for (int i2 = 0; i2 < request.Result.ShortestPaths.GetLength(1); i2++)
// {
// writer.WriteLine("[" + i1 + "," + i2 + "]" + ": " + request.Result.ShortestPaths[i1, i2]);
// }
//}
//writer.Flush();
//writer.WriteLine("AveragePaths: ");
//for (int i1 = 0; i1 < request.Result.AveragePaths.GetLength(0); i1++)
//{
// for (int i2 = 0; i2 < request.Result.AveragePaths.GetLength(1); i2++)
// {
// writer.WriteLine("[" + i1 + "," + i2 + "]" + ": " + request.Result.AveragePaths[i1, i2]);
// }
//}
}
}
}
