Python KernelMulticlassMachine示例

示例#1

def classifier_multiclassmachine_modular(fm_train_real=traindat,
                                         fm_test_real=testdat,
                                         label_train_multiclass=label_traindat,
                                         width=2.1,
                                         C=1,
                                         epsilon=1e-5):
    from shogun.Features import RealFeatures, MulticlassLabels
    from shogun.Kernel import GaussianKernel
    from shogun.Classifier import LibSVM, KernelMulticlassMachine, MulticlassOneVsRestStrategy

    feats_train = RealFeatures(fm_train_real)
    feats_test = RealFeatures(fm_test_real)
    kernel = GaussianKernel(feats_train, feats_train, width)

    labels = MulticlassLabels(label_train_multiclass)

    classifier = LibSVM()
    classifier.set_epsilon(epsilon)
    print labels.get_labels()
    mc_classifier = KernelMulticlassMachine(MulticlassOneVsRestStrategy(),
                                            kernel, classifier, labels)
    mc_classifier.train()

    kernel.init(feats_train, feats_test)
    out = mc_classifier.apply().get_labels()
    return out

示例#2

文件： classifier_multiclassmachine_modular.py 项目： ashish-sadh/shogun

def classifier_multiclassmachine_modular (fm_train_real=traindat,fm_test_real=testdat,label_train_multiclass=label_traindat,width=2.1,C=1,epsilon=1e-5):
	from shogun.Features import RealFeatures, Labels
	from shogun.Kernel import GaussianKernel
	from shogun.Classifier import LibSVM, KernelMulticlassMachine, ONE_VS_REST_STRATEGY

	feats_train=RealFeatures(fm_train_real)
	feats_test=RealFeatures(fm_test_real)
	kernel=GaussianKernel(feats_train, feats_train, width)

	labels=Labels(label_train_multiclass)

	classifier = LibSVM(C, kernel, labels)
	classifier.set_epsilon(epsilon)
	mc_classifier = KernelMulticlassMachine(ONE_VS_REST_STRATEGY,kernel,classifier,labels)
	mc_classifier.train()

	kernel.init(feats_train, feats_test)
	out = mc_classifier.apply().get_labels()
	return out

示例#3

文件： classifier_multiclassmachine_modular.py 项目： lgatto/shogun

def classifier_multiclassmachine_modular (fm_train_real=traindat,fm_test_real=testdat,label_train_multiclass=label_traindat,width=2.1,C=1,epsilon=1e-5):
	from shogun.Features import RealFeatures, MulticlassLabels
	from shogun.Kernel import GaussianKernel
	from shogun.Classifier import LibSVM, KernelMulticlassMachine, MulticlassOneVsRestStrategy

	feats_train=RealFeatures(fm_train_real)
	feats_test=RealFeatures(fm_test_real)
	kernel=GaussianKernel(feats_train, feats_train, width)

	labels=MulticlassLabels(label_train_multiclass)

	classifier = LibSVM()
	classifier.set_epsilon(epsilon)
	#print labels.get_labels()
	mc_classifier = KernelMulticlassMachine(MulticlassOneVsRestStrategy(),kernel,classifier,labels)
	mc_classifier.train()

	kernel.init(feats_train, feats_test)
	out = mc_classifier.apply().get_labels()
	return out