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
