def executeWndchrm(self, namesObservations):
#wndchrm classify -Ttestset.fit dataset.fit folder
testingFolder = os.path.join(data_io.get_testing_folder(), data_io.get_test_folder())
command = ["wndchrm", "classify", "-T%s" %(data_io.get_wndchrm_datafit_test()) ,
data_io.get_wndchrm_datafit(), testingFolder]
subprocess.call(" ".join(command), shell=True)
valid = self.parseWndchrmOutput()
outfile = open(data_io.get_wndchrm_dataset_test(), "wb")
np.savez(outfile, valid=valid, namesObservations=namesObservations)
return valid
def parseWndchrmOutput(self):
output = open("T%s" %(data_io.get_wndchrm_datafit_test()),"r")
valid = []
line = output.readline()
while len(line) != 1:
line = output.readline()
line = output.readline()
while line != "":
valid.append([np.float64(num) for num in line.split(" ")])
line = output.readline()
line = output.readline()
valid = np.array(valid)
return valid
