def run_all():
from options import MultiOptions
opt = MultiOptions()
#opt.count_number_of_events()
### UNSUPERVISED METHOD ###
if opt.opdict['method'] == 'kmeans':
from unsupervised import classifier
classifier(opt)
### SUPERVISED METHODS ###
elif opt.opdict['method'] in ['lr','svm','svm_nl','lrsk']:
from do_classification import classifier
classifier(opt)
from results import AnalyseResults
res = AnalyseResults()
if res.opdict['plot_confusion']:
res.plot_confusion()
elif opt.opdict['method'] in ['ova','1b1']:
from do_classification import classifier
classifier(opt)
from results import AnalyseResultsExtraction
res = AnalyseResultsExtraction()
def run_all():
from options import MultiOptions
opt = MultiOptions()
#opt.count_number_of_events()
from do_classification import classifier
classifier(opt)
if opt.opdict['method'] == 'lr' or opt.opdict['method'] == 'svm' or opt.opdict['method'] == 'lrsk':
from results import AnalyseResults
res = AnalyseResults()
if res.opdict['plot_confusion']:
res.plot_confusion()
else:
from results import AnalyseResultsExtraction
res = AnalyseResultsExtraction()
def run_all():
from options import MultiOptions
opt = MultiOptions()
#opt.count_number_of_events()
from do_classification import classifier
classifier(opt)
if opt.opdict['method'] == 'lr' or opt.opdict[
'method'] == 'svm' or opt.opdict['method'] == 'lrsk':
from results import AnalyseResults
res = AnalyseResults()
if res.opdict['plot_confusion']:
res.plot_confusion()
else:
from results import AnalyseResultsExtraction
res = AnalyseResultsExtraction()