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tree.py
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tree.py
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import argparse
import logging
import time
import learn
import spnss.knobs as knobs
import spnss.gens as gens
def run(name, t, cp=None, verbosity=1):
level = {0:logging.ERROR, 1:logging.WARNING, 2:logging.INFO, 3:logging.DEBUG}[verbosity]
logging.basicConfig(level=level)
# learn SPN
if cp is not None: knobs.cluster_penalty = cp
knobs.min_instances = 2
trn, vld, tst, schema = learn.load_data(name)
start = time.time()
net = gens.learn_spn(trn, schema, t)
#learn.smooth_network(net, vld, verbosity>0)
tst_llh = net.llh(tst)
vld_llh = net.llh(vld)
print name, '\tt: %.5f'%t, '\tcp: ', cp, '\ttime:%.1f'%(time.time()-start), '\ttree', len(net.pot), 'va:%8.4f'%vld_llh, 'te:%8.4f'%tst_llh
return net, vld_llh, tst_llh
def main():
# parse command line arguments
parent_parsers = [learn.dataset_parser(), learn.t_cp_parser(), learn.vq_parser(), learn.io_parser()]
parser = argparse.ArgumentParser(description='Perform SPN structure search', parents=parent_parsers)
args = parser.parse_args()
import random
# random.seed(10)
verbosity = args.v - args.q
run(args.dataset, args.threshold, args.cluster_penalty, verbosity=verbosity)
if __name__ == '__main__':
main()