def classifier_svmsgd_modular(fm_train_real=traindat,
fm_test_real=testdat,
label_train_twoclass=label_traindat,
C=0.9,
num_threads=1,
num_iter=5):
from shogun.Features import RealFeatures, SparseRealFeatures, BinaryLabels
from shogun.Classifier import SVMSGD
realfeat = RealFeatures(fm_train_real)
feats_train = SparseRealFeatures()
feats_train.obtain_from_simple(realfeat)
realfeat = RealFeatures(fm_test_real)
feats_test = SparseRealFeatures()
feats_test.obtain_from_simple(realfeat)
labels = BinaryLabels(label_train_twoclass)
svm = SVMSGD(C, feats_train, labels)
svm.set_epochs(num_iter)
#svm.io.set_loglevel(0)
svm.train()
svm.set_features(feats_test)
svm.apply().get_labels()
predictions = svm.apply()
return predictions, svm, predictions.get_labels()
def classifier_svmsgd_modular (fm_train_real=traindat,fm_test_real=testdat,label_train_twoclass=label_traindat,C=0.9,num_threads=1,num_iter=5): from shogun.Features import RealFeatures, SparseRealFeatures, Labels from shogun.Classifier import SVMSGD realfeat=RealFeatures(fm_train_real) feats_train=SparseRealFeatures() feats_train.obtain_from_simple(realfeat) realfeat=RealFeatures(fm_test_real) feats_test=SparseRealFeatures() feats_test.obtain_from_simple(realfeat) labels=Labels(label_train_twoclass) svm=SVMSGD(C, feats_train, labels) svm.set_epochs(num_iter) #svm.io.set_loglevel(0) svm.train() svm.set_features(feats_test) svm.apply().get_labels() predictions = svm.apply() return predictions, svm, predictions.get_labels()
