numVertices = SvmInfoExperiment.getNumVertices()
numVertices = 10000
infoProb = 0.1
graphTypes = ["SmallWorld", "ErdosRenyi"]
ps = [0.1, 0.003]
ks = [15, 15]
svmParamsFile = SvmInfoExperiment.getSvmParamsFileName()
sampleSize = SvmInfoExperiment.getNumSimulationExamples()
simulator = SvmEgoSimulator(examplesFileName)
CVal, kernel, kernelParamVal, errorCost = SvmInfoExperiment.loadSvmParams(svmParamsFile)
classifier = simulator.trainClassifier(CVal, kernel, kernelParamVal, errorCost, sampleSize)
preprocessor = simulator.getPreprocessor()
maxIterations = 5
eCsvReader = EgoCsvReader()
egoQuestionIds = eCsvReader.getEgoQuestionIds()
pajekWriter = PajekWriter()
simpleGraphWriter = SimpleGraphWriter()
vertexWriter = CsvVertexWriter()
for i in range(len(graphTypes)):
graphType = graphTypes[i]
p = ps[i]
k = ks[i]
