Python MultiquadricKernelの例

コード例 #1

ファイル: kernel_multiquadric_modular.py プロジェクト: 42MachineLearning/shogun

def kernel_multiquadric_modular (train_fname=traindat,test_fname=testdat, shift_coef=1.0):
	from modshogun import RealFeatures, MultiquadricKernel, EuclideanDistance, CSVFile

	feats_train=RealFeatures(CSVFile(train_fname))
	feats_test=RealFeatures(CSVFile(test_fname))

	distance=EuclideanDistance(feats_train, feats_train)

	kernel=MultiquadricKernel(feats_train, feats_train, shift_coef, distance)
	km_train=kernel.get_kernel_matrix()

	kernel.init(feats_train, feats_test)
	km_test=kernel.get_kernel_matrix()
	return km_train,km_test,kernel

コード例 #2

def kernel_multiquadric_modular(train_fname=traindat,
                                test_fname=testdat,
                                shift_coef=1.0):
    from modshogun import RealFeatures, MultiquadricKernel, EuclideanDistance, CSVFile

    feats_train = RealFeatures(CSVFile(train_fname))
    feats_test = RealFeatures(CSVFile(test_fname))

    distance = EuclideanDistance(feats_train, feats_train)

    kernel = MultiquadricKernel(feats_train, feats_train, shift_coef, distance)
    km_train = kernel.get_kernel_matrix()

    kernel.init(feats_train, feats_test)
    km_test = kernel.get_kernel_matrix()
    return km_train, km_test, kernel

コード例 #3

def kernel_spherical_modular (fm_train_real=traindat,fm_test_real=testdat, sigma=1.0):
	from modshogun import RealFeatures
	from modshogun import MultiquadricKernel
	from modshogun import EuclideanDistance

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

	distance=EuclideanDistance(feats_train, feats_train)

	kernel=MultiquadricKernel(feats_train, feats_train, sigma, distance)
	km_train=kernel.get_kernel_matrix()

	kernel.init(feats_train, feats_test)
	km_test=kernel.get_kernel_matrix()
	return km_train,km_test,kernel