Python QDA.set_features Exemples

Exemple #1

Fichier : classifier_qda_modular.py Projet : AlexBinder/shogun

def classifier_qda_modular (fm_train_real=traindat, fm_test_real=testdat, label_train_twoclass=label_traindat, tolerance=1e-4, store_covs=False):
	from shogun.Features import RealFeatures, MulticlassLabels
	from shogun.Classifier import QDA

	feats_train = RealFeatures(fm_train_real)
	feats_test  = RealFeatures(fm_test_real)

	labels = MulticlassLabels(label_train_twoclass)

	qda = QDA(feats_train, labels, tolerance, store_covs)
	qda.train()

	qda.apply(feats_test).get_labels()
	qda.set_features(feats_test)
	return qda, qda.apply().get_labels()

Exemple #2

Fichier : classifier_qda_modular.py Projet : serialhex/shogun

def classifier_qda_modular(fm_train_real=traindat,
                           fm_test_real=testdat,
                           label_train_twoclass=label_traindat,
                           tolerance=1e-4,
                           store_covs=False):
    from shogun.Features import RealFeatures, Labels
    from shogun.Classifier import QDA

    feats_train = RealFeatures(fm_train_real)
    feats_test = RealFeatures(fm_test_real)

    labels = Labels(label_train_twoclass)

    qda = QDA(feats_train, labels, tolerance, store_covs)
    qda.train()

    qda.apply(feats_test).get_labels()
    qda.set_features(feats_test)
    return qda, qda.apply().get_labels()