import logging import sys import numpy import random from apgl.egograph.SvmInfoExperiment import SvmInfoExperiment logging.basicConfig(stream=sys.stdout, level=logging.INFO) numpy.random.seed(21) random.seed(21) SvmInfoExperiment.saveSvmParams(SvmInfoExperiment.getSvmParamsFileName())
print("\hline") print(("All & " + Latex.array1DToRow(distTable[1, :]) + "\\\\")) print(("Egos & " + Latex.array1DToRow(distTable[2, :]) + "\\\\")) for i in range(distTable.shape[0]-3): print(("Alters " + str(i+1) + " & " + Latex.array1DToRow(distTable[3+i, :]) + "\\\\")) print("\n") logging.basicConfig(stream=sys.stdout, level=logging.INFO) random.seed(21) numpy.random.seed(21) startTime = time.time() examplesFileName = SvmInfoExperiment.getExamplesFileName() egoFileName = "../../data/EgoData.csv" alterFileName = "../../data/AlterData.csv" #This is double what we use for the diffusion results numVertices = 20000 #numVertices = 5000 infoProb = 0.1 """ p = 0.1 k = 15 generator = SmallWorldGenerator(p, k) """ #A second set of parameters p = float(30)/numVertices