split(disease, split_type, experiment_list)
# if split_type == 'single':
# for experiment in experiment_list:
# split(disease, split_type, [experiment])
# else:
# split(disease, split_type, experiment_list)
disease = sys.argv[1]
multinet = False
if len(sys.argv) > 2 and sys.argv[2] == "multinet":
multinet = True
get_experiment_split(disease, "multi")
# control.run_bayes_net(disease, 'single',multinet)
# control.run_bayes_net(disease, 'multi',multinet)
# threshold_list = [x for x in range(20,30,10)]
# feature_list = [x for x in range(300, 500, 100)]
# for threshold in threshold_list:
# for features in feature_list:
## control.run_bayes_net(disease, 'single', threshold, features, multinet)
# control.run_bayes_net(disease, 'multi', threshold, features, multinet)
parser.parse("single", disease, multinet)
parser.parse("multi", disease, multinet)
import sys
import control_attribute_selector as bayes
import parse_results
disease = sys.argv[1]
data_types = ["single", "multi"]
for data_type in data_types:
bayes.run_bayes_net(disease, data_type)
parse_results.parse(disease, data_type)
## now run analysis
