def go(self, button):
'''initiates the associated algorithms '''
button.config(text='Running', state=DISABLED)
self.master.update_idletasks()
dct = self.user_input
in_dir = dct['in_dir'].get()
now = util.get_current_datetime()
out_dir = dct['out_dir'].get() + '/' + now
algorithms = []
if dct['DT'].get(): algorithms.append('DT')
if dct['LR'].get(): algorithms.append('LR')
if dct['RF'].get(): algorithms.append('RF')
if dct['RFsmall'].get(): algorithms.append('RFsmall')
if dct['SVM'].get(): algorithms.append('SVM')
record_id = dct['record_id'].get().lower()
target_id = 'target'
feature_selection = dct['FS'].get()
separate_testset = dct['sep_test'].get()
# train_HISes = [dct['PMO'].get(), dct['MDM'].get(), dct['LUMC'].get(),
# dct['VUMH'].get(), dct['VUMD'].get(), dct['VUSC'].get()]
in_dir_test = dct['in_dir_test'].get()
learn.execute(in_dir, out_dir, record_id, target_id, algorithms,
feature_selection, separate_testset, in_dir_test)
button.config(text='Done')
self.master.update_idletasks()
time.sleep(0.5)
button.config(text='Run!', state=NORMAL)
def go(self, button):
'''initiates the associated algorithms '''
dct = self.user_input
button.config(text='Running', state=DISABLED)
if dct['in_dir'].get() == 'input folder':
dct['in_dir'].set('sql')
if dct['delimiter'].get() == '':
dct['delimiter'].set(',')
if dct['out_dir'].get() == 'output folder':
dct['out_dir'].set('./out')
if dct['min_age'].get() == '':
dct['min_age'].set(30)
if dct['max_age'].get() == '':
dct['max_age'].set(150)
if dct['begin_interval'].get() == '':
dct['begin_interval'].set(int(365./52*26+1))
if dct['end_interval'].get() == '':
dct['end_interval'].set(int(365./52*0+1))
if dct['ID_column'].get() == '':
dct['ID_column'].set('patientnummer')
if dct['temporal_specific']['support'].get() == '':
dct['temporal_specific']['support'].set(0.1)
if dct['mapping_dir'].get() == 'semantic enrichment dir':
dct['mapping_dir'].set('./out/semantics/')
self.master.update_idletasks()
now = util.get_current_datetime()
util.make_dir(dct['out_dir'].get() + '/' + now + '/')
HISes = [dct['PMO'].get(), dct['MDM'].get(), dct['LUMC'].get(),
dct['VUMH'].get(), dct['VUMD'].get(), dct['VUSC'].get()]
args = [dct['in_dir'].get(),
dct['delimiter'].get(),
dct['out_dir'].get() + '/' + now,
dct['ID_column'].get(),
int(dct['min_age'].get()),
int(dct['max_age'].get()),
[int(dct['end_interval'].get()), int(dct['begin_interval'].get())],
True if dct['in_dir'].get().lower() == 'sql' else False,
HISes]
if dct['process_temporal'].get(): # process temporally
self.temporal(dct, now, args)
else: # process atemporally
self.regular(dct, now, args)
pretty_dct = util.tkinter2var(dct)
try:
io.pprint_to_file(dct['out_dir'].get() + '/' + now + '/settings.txt', pretty_dct)
except IOError, e:
print e
from learning import learnknn from util_ import util in_dir = '/Users/markhoogendoorn/Documents/Mijn Research Documenten/MIMIC-II/V3.0_export/processed/knn' now = util.get_current_datetime() out_dir = '/Users/markhoogendoorn/Documents/Mijn Research Documenten/MIMIC-II/V3.0_export/learning_results/knn/' + now + '/' learnknn.execute_knn(in_dir, out_dir, 'id', 'label', 'day', 1, 5)
def go(self, button):
'''initiates the associated algorithms '''
dct = self.user_input
button.config(text='Running', state=DISABLED)
if dct['in_dir'].get() == 'input folder':
dct['in_dir'].set('sql')
if dct['delimiter'].get() == '':
dct['delimiter'].set(',')
if dct['out_dir'].get() == 'output folder':
dct['out_dir'].set('./out')
if dct['min_age'].get() == '':
dct['min_age'].set(30)
if dct['max_age'].get() == '':
dct['max_age'].set(150)
if dct['begin_interval'].get() == '':
dct['begin_interval'].set(int(365. / 52 * 26 + 1))
if dct['end_interval'].get() == '':
dct['end_interval'].set(int(365. / 52 * 0 + 1))
if dct['ID_column'].get() == '':
dct['ID_column'].set('patientnummer')
if dct['temporal_specific']['support'].get() == '':
dct['temporal_specific']['support'].set(0.1)
# if dct['mapping_dir'].get() == 'semantic enrichment dir':
# dct['mapping_dir'].set('./out/semantics/')
self.master.update_idletasks()
now = util.get_current_datetime()
util.make_dir(dct['out_dir'].get() + '/' + now + '/')
# HISes = [dct['PMO'].get(), dct['MDM'].get(), dct['LUMC'].get(),
# dct['VUMH'].get(), dct['VUMD'].get(), dct['VUSC'].get()]
args = [
dct['in_dir'].get(), dct['delimiter'].get(),
dct['out_dir'].get() + '/' + now, dct['ID_column'].get(),
int(dct['min_age'].get()),
int(dct['max_age'].get()),
[int(dct['end_interval'].get()),
int(dct['begin_interval'].get())],
True if dct['in_dir'].get().lower() == 'sql' else False, False,
dct['survival'].get(), dct['already_processed'].get()
]
if dct['process_temporal'].get(): # process temporally
self.temporal(dct, now, args)
else: # process atemporally
self.regular(dct, now, args)
pretty_dct = util.tkinter2var(dct)
try:
io.pprint_to_file(
dct['out_dir'].get() + '/' + now + '/settings.txt', pretty_dct)
except IOError as e:
print(e)
print('### Done processing ###')
button.config(text='Done')
self.master.update_idletasks()
time.sleep(0.5)
button.config(text='Run!', state=NORMAL)