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()