gpEMOCreg/evaluation/PrecomputeExperimentalSetup.py

import pickle
import socket
import datetime
import numpy

###

import sys
import os
sys.path.append(os.path.join(os.path.abspath(os.path.dirname(__file__)),os.pardir))

###

import helperFunctions
import datasetAcquisition

###

if len(sys.argv) != 2:
    raise Exception('No config file given!')

print ''
print ' -- config -- '
print ''

defaultFname =  os.path.join(os.path.dirname(sys.argv[1]),os.pardir,'setup.cfg')
if not os.path.isfile(defaultFname):
    defaultFname = sys.argv[1]

expSetup = helperFunctions.getConfig(sys.argv[1], 'experiment', 'extExpSetup', defaultFname, 'str', True)
numRndInits = helperFunctions.getConfig(expSetup, 'experiment', 'numRndInits', None, 'int', True)
numInitSamples = helperFunctions.getConfig(expSetup, 'experiment', 'numInitSamples', None, 'int', True)
numTestSamples = helperFunctions.getConfig(expSetup, 'experiment', 'numTestSamples', None, 'int', True)
indicesFileName = helperFunctions.getConfig(expSetup, 'experiment', 'indicesFileName', None, 'str', True)

print ''
print 'host:', socket.gethostname()
print 'pid:', os.getpid()
print 'now:', datetime.datetime.strftime(datetime.datetime.now(), '%d.%m.%Y %H:%M:%S')
print 'git:', helperFunctions.getGitHash()
print ''
sys.stdout.flush()

###

#trainIdxs = numpy.empty((numTasks,numRndInits,numInitCls*numInitSamplesPerCls), dtype=numpy.int)
#testIdxs = numpy.empty((numTasks,numRndInits,numCls*numTestSamplesPerCls), dtype=numpy.int)

trainIdxs = list()
testIdxs = list()

###

x,y = datasetAcquisition.readData(expSetup)

for rndIdx in range(numRndInits):

    rndIdxs = numpy.random.permutation(y.shape[0])
    trainIdxs.append(rndIdxs[:numInitSamples])
    testIdxs.append(rndIdxs[numInitSamples+1:numInitSamples+numTestSamples+1])

###

out = open(indicesFileName, 'w')
pickle.dump({'trainIdxs': trainIdxs, 'testIdxs': testIdxs}, out)
out.close()
print ''
print 'done'