def create_and_visualize(param):
print(f"{dt()} :: Create And Visualize Initialize")
datasets = loader.create_loader(param)
for nb_comb in range(1, 6):
print(f"{dt()} :: --Create Combine Number : {nb_comb}")
dc = dict()
for key, files in datasets.items():
files = sorted(files)
param.key = key
class_collect = list()
for file in files:
output = create_configuration(param, file, nb_comb)
class_collect.append(output)
dc[key] = class_collect
print(f"{dt()} :: --Combine Number : {nb_comb} Save Initialize")
cc.save_datasets(param, dc, nb_comb)
print(f"{dt()} :: --Done")
if nb_comb == 1:
print(f"{dt()} :: Visualize Initialize")
visdat = loader.viz_loader(param)
print(f"{dt()} :: --Visualize Dataset Path Load")
visualizer.chosen_viz(param, visdat)
print(f"{dt()} :: --Done")
def create(param):
print(f"{dt()} :: Create Initialize")
datasets = loader.create_loader(param)
for nb_comb in range(1, 6):
print(f"{dt()} :: Combine Number : {nb_comb}")
dc = dict()
for key, files in datasets.items():
files = sorted(files)
param.key = key
class_collect = list()
for file in files:
output = create_configuration(param, file, nb_comb)
class_collect.append(output)
dc[key] = class_collect
print(f"{dt()} :: --Combine Number : {nb_comb} Save Initialize")
cc.save_datasets(param, dc, nb_comb)
print(f"{dt()} :: --Done")
def create_v2(param):
print(f"{dt()} :: Create Initialize")
datasets = loader.create_loader(param)
for nb_comb in range(1, 6):
print(f"{dt()} :: Combine Number : {nb_comb}")
dc = dict()
for key, files in datasets.items():
files = sorted(files)
param.key = key
class_collect = list()
for file in files:
if file.split('/')[-1] == '13_04.csv' or file.split('/')[-1] == '14_05.csv' and \
(param.datatype == 'disease' or param.datatype == 'disease_add'):
continue
print(file)
output = create_configuration_v2(param, file, nb_comb)
class_collect.append(output)
dc[key] = class_collect
print(f"{dt()} :: --Combine Number : {nb_comb} Save Initialize")
cc.save_datasets(param, dc, nb_comb)
print(f"{dt()} :: --Done")