def main():
args = exp_shared.parse_script_arguments()
# Run experiment
if args.pipeline == '':
exp = run(args.host_name)
else:
# Load existing experiment
exp = Experiment.load(args.pipeline)
if args.resync == 'y':
exp.wait(retry_interval=5)
exp.queue.sync(exp.pipeline_path, exp.pipeline_path, sync_to=sge.SyncTo.LOCAL, recursive=True)
cluster_ensemble = exp.get_flattened_results('agent_language_map')
consensus = Correlation_Clustering.compute_consensus_map(cluster_ensemble, k=10, iter=100)
print(consensus.values())
# Visualize experiment
visualize(exp)
i += 1
def visualize(exp):
viz.plot_with_conf2(exp, 'regier_cost', 'term_usage', 'bw_boost')
viz.plot_with_conf2(exp, 'wellformedness', 'term_usage', 'bw_boost')
viz.plot_with_conf2(exp, 'term_usage', 'term_usage', 'bw_boost')
e = com_enviroments.make('wcs')
for t, maps in zip(exp.param_ranges['term_usage'], exp.reshape('language_map', as_function_of_axes=['term_usage'])):
e.plot_with_colors(maps[0,:], save_to_path=exp.pipeline_path + 'ccc_map-' + str(t) + '_terms.png')
def main(args):
# Run experiment
exp = run(args.host_name, args.pipeline)
# analyse results
analyse(exp)
exp.save()
print("\nAll tasks queued to clusters")
# wait for all tasks to complete
exp.wait(retry_interval=5)
exp.queue.sync(exp.pipeline_path, exp.pipeline_path, sync_to=sge.SyncTo.LOCAL, recursive=True)
visualize(exp)
if __name__ == "__main__":
main(exp_shared.parse_script_arguments().parse_args())
