Ejemplos de LibSVM.set_labels en Python

Ejemplo n.º 1

Archivo: test_svm_kernel_multiple.py Proyecto: vinodrajendran001/ASP

epsilon = 1e-5
tube_epsilon = 1e-2
svm = LibSVM()
svm.set_C(C, C)
svm.set_epsilon(epsilon)
svm.set_tube_epsilon(tube_epsilon)

for i in xrange(3):
    data_train = random.rand(num_feats, num_vec)
    data_test = random.rand(num_feats, num_vec)
    feats_train = RealFeatures(data_train)
    feats_test = RealFeatures(data_test)
    labels = Labels(random.rand(num_vec).round() * 2 - 1)

    svm.set_kernel(LinearKernel(size_cache, scale))
    svm.set_labels(labels)

    kernel = svm.get_kernel()
    print "kernel cache size: %s" % (kernel.get_cache_size())

    kernel.init(feats_test, feats_test)
    svm.train()

    kernel.init(feats_train, feats_test)
    print svm.apply().get_labels()

    #kernel.remove_lhs_and_rhs()

    #import pdb
    #pdb.set_trace()

Ejemplo n.º 2

Archivo: test_svm_kernel_multiple.py Proyecto: 42MachineLearning/shogun

epsilon=1e-5
tube_epsilon=1e-2
svm=LibSVM()
svm.set_C(C, C)
svm.set_epsilon(epsilon)
svm.set_tube_epsilon(tube_epsilon)

for i in xrange(3):
	data_train=random.rand(num_feats, num_vec)
	data_test=random.rand(num_feats, num_vec)
	feats_train=RealFeatures(data_train)
	feats_test=RealFeatures(data_test)
	labels=Labels(random.rand(num_vec).round()*2-1)

	svm.set_kernel(LinearKernel(size_cache, scale))
	svm.set_labels(labels)

	kernel=svm.get_kernel()
	print "kernel cache size: %s" % (kernel.get_cache_size())

	kernel.init(feats_test, feats_test)
	svm.train()

	kernel.init(feats_train, feats_test)
	print svm.classify().get_labels()

	#kernel.remove_lhs_and_rhs()

	#import pdb
	#pdb.set_trace()