import numpy
import logging
import sys
import argparse
from sandbox.util.Sampling import Sampling
from sandbox.util.Util import Util
from wallhack.rankingexp.RankingExpHelper import RankingExpHelper
from wallhack.rankingexp.DatasetUtils import DatasetUtils
Util.setupScript()
# Arguments related to the dataset
dataArgs = argparse.Namespace()
# Arguments related to the algorithm
defaultAlgoArgs = argparse.Namespace()
defaultAlgoArgs.alphas = 2.0**-numpy.arange(-1, 3)
defaultAlgoArgs.folds = 2
defaultAlgoArgs.ks = numpy.array([32, 64, 128])
defaultAlgoArgs.lmbdasMlauc = 2.0**-numpy.arange(0, 6)
defaultAlgoArgs.modelSelectSamples = 10**5
defaultAlgoArgs.numRowSamples = 15
defaultAlgoArgs.parallelSGD = True
defaultAlgoArgs.recordFolds = 1
defaultAlgoArgs.validationUsers = 0.0
# data args parser #
dataParser = argparse.ArgumentParser(description="", add_help=False)
dataParser.add_argument("-h", "--help", action="store_true", help="show this help message and exit")
devNull, remainingArgs = dataParser.parse_known_args(namespace=dataArgs)
if dataArgs.help:
