from jobman.tools import DD
from jobman import sql
import numpy
# import types of architectures we want to use
import RNN
if __name__ == '__main__':
TABLE_NAME = 'rnn001'
#db = sql.db('postgres://*****:*****@gershwin/pascanur_db/'+TABLE_NAME)
db = sql.postgres_serial(user='******',
password='******',
host='colosse1',
port=5432,
database='pascanur_db',
table_prefix=TABLE_NAME)
state = DD()
## DEFAULT VALUES ##
state['configfile'] = '/home/rpascanu/workspace/RNN_theano/rnn001/RNN.ini'
state['jobman.experiment'] = 'RNN.jobman'
n_jobs = 0
for n_jobs in xrange(512):
n = numpy.random.rand()
#if n > 0.5:
state['opt_alg'] = 'sgd_qn'
_lambda = -(numpy.random.randint(3) + 4)
from jobman import sql
import numpy
import configs
# import types of architectures we want to use
import RNN_stream
if __name__=='__main__':
TABLE_NAME='rnnstream002'
#db = sql.db('postgres://*****:*****@gershwin/pascanur_db/'+TABLE_NAME)
db = sql.postgres_serial( user = '******',
password='******',
host=configs.get_server(),
port = 5432,
database='pascanur_db',
table_prefix = TABLE_NAME)
state = DD()
## DEFAULT VALUES ##
state['configfile'] ='RNN_theano/rnn_stream001/RNN_stream.ini'
state['jobman.experiment'] = 'RNN_stream.jobman'
# Starting job id
start_job = 0
num_jobs = 60
state['path'] = TABLE_NAME+'/'
for n_jobs in xrange(start_job, start_job+num_jobs):
n = numpy.random.rand()
from jobman.tools import DD
from jobman import sql
import numpy
# import types of architectures we want to use
import RNN
if __name__=='__main__':
TABLE_NAME='rnn001'
#db = sql.db('postgres://*****:*****@gershwin/pascanur_db/'+TABLE_NAME)
db = sql.postgres_serial( user = '******',
password='******',
host='colosse1',
port = 5432,
database='pascanur_db',
table_prefix = TABLE_NAME)
state = DD()
## DEFAULT VALUES ##
state['configfile'] = '/home/rpascanu/workspace/RNN_theano/rnn001/RNN.ini'
state['jobman.experiment'] = 'RNN.jobman'
n_jobs = 0
for n_jobs in xrange(512):
n = numpy.random.rand()
#if n > 0.5:
state['opt_alg'] = 'sgd_qn'
_lambda = -(numpy.random.randint(3)+4)
from jobman.tools import DD
from jobman import sql
import numpy
import configs
# import types of architectures we want to use
import RNN_stream
if __name__ == '__main__':
TABLE_NAME = 'rnnstream002'
#db = sql.db('postgres://*****:*****@gershwin/pascanur_db/'+TABLE_NAME)
db = sql.postgres_serial(user='******',
password='******',
host=configs.get_server(),
port=5432,
database='pascanur_db',
table_prefix=TABLE_NAME)
state = DD()
## DEFAULT VALUES ##
state['configfile'] = 'RNN_theano/rnn_stream001/RNN_stream.ini'
state['jobman.experiment'] = 'RNN_stream.jobman'
# Starting job id
start_job = 0
num_jobs = 60
state['path'] = TABLE_NAME + '/'
for n_jobs in xrange(start_job, start_job + num_jobs):
n = numpy.random.rand()
