def jobman_insert_random(n_jobs):
JOBDB = 'postgres://*****:*****@opter.iro.umontreal.ca/devries_db/lvq_mnist'
EXPERIMENT_PATH = "lvq_mnist.jobman_entrypoint"
jobs = []
for _ in range(n_jobs):
job = DD()
job.n_hiddens = numpy.random.randint(1000, high=3000)
job.n_out = numpy.random.randint(100, high=500)
job.noise_std = numpy.random.uniform(low=0.0, high=0.8)
job.learning_rate = 10.**numpy.random.uniform(-2, 0)
job.momentum = 10.**numpy.random.uniform(-2, 0)
job.gamma = numpy.random.uniform(low=1.0, high=3.0)
job.tag = "lvq_mnist"
jobs.append(job)
print job
answer = raw_input("Submit %d jobs?[y/N] " % len(jobs))
if answer == "y":
numpy.random.shuffle(jobs)
db = jobman.sql.db(JOBDB)
for job in jobs:
job.update({jobman.sql.EXPERIMENT: EXPERIMENT_PATH})
jobman.sql.insert_dict(job, db)
print "inserted %d jobs" % len(jobs)
print "To run: jobdispatch --gpu --env=THEANO_FLAGS='floatX=float32, device=gpu' --repeat_jobs=%d jobman sql -n 1 'postgres://*****:*****@opter.iro.umontreal.ca/devries_db/lvq_mnist' ." % len(
jobs)
