def delete(self):
        os.remove(self.getJobFileName()) #This is the atomic operation, if this file is not present the job is deleted.
        dirToRemove = self.jobDir
        while 1:
            head, tail = os.path.split(dirToRemove)
            if re.match("t[0-9]+$", tail):
                command = "rm -rf %s" % dirToRemove
            else:
                command = "rm -rf %s/*" % dirToRemove #We're at the root
            try:
                system(command)
            except RuntimeError:
                pass #This is not a big deal, as we expect collisions
            dirToRemove = head
            try:
                if len(os.listdir(dirToRemove)) != 0:
                    break
            except os.error: #In case stuff went wrong, but as this is not critical we let it slide
                break
Predict without normalisation. This can be used for the first few chunks to find good parameters.
dataset/ETHPy150Open benedictpaten/jobTree/src/job.py/Job.delete--crossover with--dataset/ETHPy150Open benanne/kaggle-galaxies/custom.py/OptimisedDivGalaxyOutputLayer.predictions_no_normalisation