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generate_kfolderdata.py
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import random
import csv
import sys
import math
import os
import ConfigParser
import exp1_decisionmaking
# def shuffle_data(dataset, kfold, kfolddir, iteration):
#
# folder = kfolddir + '/' + dataset + '/' + str(iteration)
# if not os.path.isdir(folder):
# os.mkdir(folder)
#
#
# datafile = r'./datasets/' + dataset + '/answer.csv'
# record = read_datafile(datafile)
#
# random.seed(iteration)
# random.shuffle(record)
#
# par_n = int(math.floor(len(record)*1.0 / kfold))
#
#
#
# for i in range(kfold):
# csvfile_w = file(folder+'/answer_'+str(i)+'.csv', 'wb+')
# writer = csv.writer(csvfile_w)
# temp=[['question', 'worker', 'answer']]
# writer.writerows(temp)
# if i != kfold-1:
# writer.writerows(record[0:(i+1)*par_n])
# else:
# writer.writerows(record[0:])
# csvfile_w.close()
def gete2wl(record):
e2wl = {}
for line in record:
example, worker, label = line
if example not in e2wl:
e2wl[example] = []
e2wl[example].append([worker,label])
return e2wl
def generaterows(e2wl, redundancy):
rows = []
for example in e2wl:
wl = e2wl[example][:redundancy]
for worker, label in wl:
rows.append([example, worker, label])
return rows
def shuffle_data(dataset, kfold, kfolddir, iteration):
folder = kfolddir + '/' + dataset + '/' + str(iteration)
if not os.path.isdir(folder):
os.mkdir(folder)
datafile = r'./datasets/' + dataset + '/answer.csv'
record = read_datafile(datafile)
random.seed(iteration)
random.shuffle(record)
e2wl = gete2wl(record)
for i in range(kfold):
csvfile_w = file(folder+'/answer_'+str(i)+'.csv', 'wb+')
writer = csv.writer(csvfile_w)
temp=[['question', 'worker', 'answer']]
writer.writerows(temp)
if i != kfold-1:
writer.writerows(generaterows(e2wl, i+1))
else:
writer.writerows(record[0:])
csvfile_w.close()
def read_datafile(datafile):
record = []
f = open(datafile, 'r')
reader = csv.reader(f)
next(reader)
for line in reader:
record.append(line)
return record
def generate_kfolderdata(kfolddir, iterations):
if os.path.isdir(kfolddir):
import shutil
shutil.rmtree(kfolddir)
os.mkdir(kfolddir)
datasets = os.listdir(r'./datasets')
datasets = [dataset for dataset in datasets if dataset[0] != '.']
for dataset in datasets:
tempfolder = kfolddir + '/' + dataset
if not os.path.isdir(tempfolder):
os.mkdir(tempfolder)
kfold = exp1_decisionmaking.select_kfold(r'./datasets/' + dataset + '/answer.csv')
print kfold
for iteration in range(iterations):
shuffle_data(dataset, kfold, kfolddir, iteration)
if __name__ == "__main__":
cf = ConfigParser.ConfigParser()
cf.read('./config.ini')
iterations = eval(cf.get("exp-1", "iterations"))
generate_kfolderdata(r'./data_kfolder', iterations)