def run_fetc():
if "-exp" in sys.argv:
exp_pos = sys.argv.index("-exp")
param_file = sys.argv[exp_pos+1]
else:
param_file = "experiment.yaml"
exp = read_parameters(param_file=param_file)
ovw = parse_commandline(sys.argv)
overwrite_params(exp, ovw)
update_parameters(exp)
#print exp
if exp['steps']['extract_features']:
fe = FeatureExtractor.create(params=exp)
fe.run()
if exp['steps']['aggregate_features']:
fa = FeatureAggregator.create(params=exp)
fa.run()
if exp['steps']['train']:
t = ModelTrainer.create(params=exp)
t.run()
if exp['steps']['test']:
t = ModelTester.create(params=exp)
t.run()
if exp['steps']['evaluate']:
t = Evaluator.create(params=exp)
t.run()
def run_fetc():
if "-exp" in sys.argv:
exp_pos = sys.argv.index("-exp")
param_file = sys.argv[exp_pos + 1]
else:
param_file = "experiment.yaml"
exp = read_parameters(param_file=param_file)
ovw = parse_commandline(sys.argv)
overwrite_params(exp, ovw)
update_parameters(exp)
#print exp
if exp['steps']['extract_features']:
fe = FeatureExtractor.create(params=exp)
fe.run()
if exp['steps']['aggregate_features']:
fa = FeatureAggregator.create(params=exp)
fa.run()
if exp['steps']['train']:
t = ModelTrainer.create(params=exp)
t.run()
if exp['steps']['test']:
t = ModelTester.create(params=exp)
t.run()
if exp['steps']['evaluate']:
t = Evaluator.create(params=exp)
t.run()
