* added NStages as a stopper (moved from hpu/conv) * added a argmax_standalone output to logistic_regression which is independent of the targets, which was needed to compute an output independently of the target * fixed some import discrepancies between pylearn and pylearn_refactor (mostly for datasets) * added testDataset which generates sequential or random data for a given shape

#!/usr/bin/env python
from dbdict.tools import standalone_run_job
standalone_run_job()