def __init__(self, filename):
csvData = readData.readCSV(self, filename)
self.data = csvData.data
self.Class = csvData.Class
self.attributes = csvData.attributes
self.attributeNames = csvData.attributeNames
self.trainingValues = csvData.trainingValues
self.root = self.VIH(self.trainingValues, self.Class, self.attributes)
def __init__(self, filename):
csvData = readData.readCSV(self, filename)
self.Class = csvData.Class
self.data = csvData.data
tot_fn = np.zeros(10)
tot_fp = np.zeros(10)
tot_time = np.zeros(10)
for seed in range(10):
detail_csv = open(directory + "/detail_results.csv", "a")
csvWriter_detail = csv.writer(detail_csv, delimiter=',')
try:
os.remove(directory + '/result_N' + str(num_nurses) + '_seed' +
str(seed) + '.csv')
except OSError:
pass
start = time.clock()
rd.learnConstraints(dataDir, numSol, num_nurses, 1, directory,
numFiles, seed)
end = time.clock()
data = rd.readCSV(directory + '/result_N' + str(num_nurses) +
'_seed' + str(seed) + '.csv')
data_transpose = list(zip(*data))
data_int = np.zeros(
[len(data_transpose),
len(data_transpose[0]) - 1])
for i in range(len(data_transpose)):
for j in range(1, len(data_transpose[i])):
if data_transpose[i][j] != '':
data_int[i, j - 1] = int(data_transpose[i][j])
bounds_learned = np.zeros([num_constrType, num_constr])
k = 0
for i in range(len(data_transpose)):
if (i + 1) % 7 != 0:
numFiles, directory + "/solutions", constrList, bounds)
try:
os.remove(directory + '/result_N' + str(num_nurses) + '_forAll.csv')
except OSError:
pass
rd.learnConstraintsForAll(dataDir, num_nurses, 1, directory)
bounds_prev = np.zeros([num_constrType, num_constr])
objVal = 0
minObjVal = 0
i = 0
for fl in glob.glob(directory + "/solutions" + "/*objVal" + str(num_nurses) +
"*.csv"):
tmp = float(rd.readCSV(fl)[0][0])
if i == 0:
minObjVal = tmp
else:
minObjVal = min(minObjVal, tmp)
objVal += tmp
i += 1
objVal = objVal / numFiles
data = rd.readCSV(directory + '/result_N' + str(num_nurses) + '_forAll.csv')
data_transpose = list(zip(*data))
data_int = np.zeros([len(data_transpose), len(data_transpose[0]) - 1])
for i in range(len(data_transpose)):
for j in range(1, len(data_transpose[i])):
if data_transpose[i][j] != '':
data_int[i, j - 1] = int(data_transpose[i][j])