def main():
parser = argparse.ArgumentParser(
description='Writes a binary version of an Andrews format corpus.')
parser.add_argument('--input', '-i', metavar='FILE',
help='The input corpus (in Andrews format).')
args = parser.parse_args()
aesir.dataread(args.input)
def main():
parser = argparse.ArgumentParser(
description='Writes a binary version of an Andrews format corpus.')
parser.add_argument('--input',
'-i',
metavar='FILE',
help='The input corpus (in Andrews format).')
args = parser.parse_args()
aesir.dataread(args.input)
def main():
parser = argparse.ArgumentParser(
description='Runs the Andrews model.')
parser.add_argument('--input', '-i', metavar='FILE',
help='Load a precreated Numpy Array as the data matrix.')
parser.add_argument('--output', '-o', metavar='FILE', help='Save the model.')
parser.add_argument('--topics', '-k', metavar='INT', default=100, type=int,
help='The number of topics to load.')
parser.add_argument('--burnin', '-b', metavar='INT', type=int, default=0,
help='Burnin samples.')
parser.add_argument('--iterations', '-I', metavar='INT', default=1000, type=int,
help='Number of iterations.')
parser.add_argument('--threads', '-t', metavar='INT', default=4, type=int,
help='The number of separate threads to run.')
parser.add_argument('--continue', '-c', action='store_true', dest='kontinue',
help='Continue computing from an existing model.')
args = parser.parse_args()
logging.info("Loading data...")
data = aesir.dataread(args.input)
logging.info("Initializing model...")
model = aesir.freyr(data, K=args.topics, model_out=args.output)
logging.info("Finished initializing.")
if args.kontinue:
logging.info("Loading existing model...")
try:
model.load_model(args.output)
logging.info("Existing model loaded.")
except IOError:
logging.info("Can't continue. Starting from scratch.")
logging.info("Starting MCMC...")
model.burnin_iterations = args.burnin
model.mcmc_iterations_max = args.iterations
model.mcmc(cores=args.threads)
logging.info("Finished with MCMC!")
logging.info("Saving model to '%s'..." % args.output)
model.save_model(args.output)
logging.info("Model saved.")
logging.info("All finished.")
def main():
parser = argparse.ArgumentParser(description='Runs the Andrews model.')
parser.add_argument(
'--input',
'-i',
metavar='FILE',
help='Load a precreated Numpy Array as the data matrix.')
parser.add_argument('--output',
'-o',
metavar='FILE',
help='Save the model.')
parser.add_argument('--topics',
'-k',
metavar='INT',
default=100,
type=int,
help='The number of topics to load.')
parser.add_argument('--burnin',
'-b',
metavar='INT',
type=int,
default=0,
help='Burnin samples.')
parser.add_argument('--iterations',
'-I',
metavar='INT',
default=1000,
type=int,
help='Number of iterations.')
parser.add_argument('--threads',
'-t',
metavar='INT',
default=4,
type=int,
help='The number of separate threads to run.')
parser.add_argument('--continue',
'-c',
action='store_true',
dest='kontinue',
help='Continue computing from an existing model.')
args = parser.parse_args()
logging.info("Loading data...")
data = aesir.dataread(args.input)
logging.info("Initializing model...")
model = aesir.freyr(data, K=args.topics, model_out=args.output)
logging.info("Finished initializing.")
if args.kontinue:
logging.info("Loading existing model...")
try:
model.load_model(args.output)
logging.info("Existing model loaded.")
except IOError:
logging.info("Can't continue. Starting from scratch.")
logging.info("Starting MCMC...")
model.burnin_iterations = args.burnin
model.mcmc_iterations_max = args.iterations
model.mcmc(cores=args.threads)
logging.info("Finished with MCMC!")
logging.info("Saving model to '%s'..." % args.output)
model.save_model(args.output)
logging.info("Model saved.")
logging.info("All finished.")
