Python GaussianKernel.get_kernel_matrix примеры использования

Пример #1

Файл: kernel_io_modular.py Проект: JackieXie168/shogun

def kernel_io_modular(train_fname=traindat, test_fname=testdat, width=1.9):
    from modshogun import RealFeatures, GaussianKernel, CSVFile

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

    kernel = GaussianKernel(feats_train, feats_train, width)
    km_train = kernel.get_kernel_matrix()
    f = CSVFile("tmp/gaussian_train.csv", "w")
    kernel.save(f)
    del f

    kernel.init(feats_train, feats_test)
    km_test = kernel.get_kernel_matrix()
    f = CSVFile("tmp/gaussian_test.csv", "w")
    kernel.save(f)
    del f

    # clean up
    import os

    os.unlink("tmp/gaussian_test.csv")
    os.unlink("tmp/gaussian_train.csv")

    return km_train, km_test, kernel

Пример #2

Файл: kernel_gaussian_modular.py Проект: 42MachineLearning/shogun

def kernel_gaussian_modular (train_fname=traindat,test_fname=testdat, width=1.3):
	from modshogun import RealFeatures, GaussianKernel, CSVFile

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

	kernel=GaussianKernel(feats_train, feats_train, width)
	km_train=kernel.get_kernel_matrix()

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

Пример #3

Файл: kernel_sparse_gaussian_modular.py Проект: 42MachineLearning/shogun

def kernel_sparse_gaussian_modular (fm_train_real=traindat,fm_test_real=testdat,width=1.1 ):
	from modshogun import SparseRealFeatures
	from modshogun import GaussianKernel

	feats_train=SparseRealFeatures(fm_train_real)
	feats_test=SparseRealFeatures(fm_test_real)


	kernel=GaussianKernel(feats_train, feats_train, width)
	km_train=kernel.get_kernel_matrix()

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

Пример #4

Файл: kernel_gaussian_modular.py Проект: manantomar/test

def kernel_gaussian_modular(train_fname=traindat,
                            test_fname=testdat,
                            width=1.3):
    from modshogun import RealFeatures, GaussianKernel, CSVFile

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

    kernel = GaussianKernel(feats_train, feats_train, width)
    km_train = kernel.get_kernel_matrix()

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

Пример #5

Файл: kernel_sparse_gaussian_modular.py Проект: manantomar/test

def kernel_sparse_gaussian_modular(fm_train_real=traindat,
                                   fm_test_real=testdat,
                                   width=1.1):
    from modshogun import SparseRealFeatures
    from modshogun import GaussianKernel

    feats_train = SparseRealFeatures(fm_train_real)
    feats_test = SparseRealFeatures(fm_test_real)

    kernel = GaussianKernel(feats_train, feats_train, width)
    km_train = kernel.get_kernel_matrix()

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

Пример #6

Файл: kernel_io_modular.py Проект: manantomar/test

def kernel_io_modular(train_fname=traindat, test_fname=testdat, width=1.9):
    from modshogun import RealFeatures, GaussianKernel, CSVFile

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

    kernel = GaussianKernel(feats_train, feats_train, width)
    km_train = kernel.get_kernel_matrix()
    f = CSVFile("tmp/gaussian_train.csv", "w")
    kernel.save(f)
    del f

    kernel.init(feats_train, feats_test)
    km_test = kernel.get_kernel_matrix()
    f = CSVFile("tmp/gaussian_test.csv", "w")
    kernel.save(f)
    del f

    #clean up
    import os
    os.unlink("tmp/gaussian_test.csv")
    os.unlink("tmp/gaussian_train.csv")

    return km_train, km_test, kernel