Python CustomKernel.get_kernel_matrix Beispiele

Beispiel #1

Datei: kernel_custom_modular.py Projekt: memimo/shogun-liblinear

def custom ():
	print 'Custom'
	from numpy.random import rand
	from numpy import array
	from shogun.Features import RealFeatures
	from shogun.Kernel import CustomKernel

	dim=7
	data=rand(dim, dim)
	feats=RealFeatures(data)
	symdata=data+data.T
	lowertriangle=array([symdata[(x,y)] for x in xrange(symdata.shape[1])
		for y in xrange(symdata.shape[0]) if y<=x])

	kernel=CustomKernel()

	kernel.set_triangle_kernel_matrix_from_triangle(lowertriangle)
	km_triangletriangle=kernel.get_kernel_matrix()

	kernel.set_triangle_kernel_matrix_from_full(symdata)
	km_fulltriangle=kernel.get_kernel_matrix()

	kernel.set_full_kernel_matrix_from_full(data)
	km_fullfull=kernel.get_kernel_matrix()

Beispiel #2

def kernel_custom_modular(dim=7):
    from numpy.random import rand, seed
    from numpy import array, float32
    from shogun.Features import RealFeatures
    from shogun.Kernel import CustomKernel

    seed(17)
    data = rand(dim, dim)
    feats = RealFeatures(data)
    symdata = data + data.T
    lowertriangle = array([
        symdata[(x, y)] for x in range(symdata.shape[1])
        for y in range(symdata.shape[0]) if y <= x
    ])

    kernel = CustomKernel()

    # once with float64's
    kernel.set_triangle_kernel_matrix_from_triangle(lowertriangle)
    km_triangletriangle = kernel.get_kernel_matrix()

    kernel.set_triangle_kernel_matrix_from_full(symdata)
    km_fulltriangle = kernel.get_kernel_matrix()

    kernel.set_full_kernel_matrix_from_full(symdata)
    km_fullfull = kernel.get_kernel_matrix()

    # now once with float32's
    data = array(data, dtype=float32)

    kernel.set_triangle_kernel_matrix_from_triangle(lowertriangle)
    km_triangletriangle = kernel.get_kernel_matrix()

    kernel.set_triangle_kernel_matrix_from_full(symdata)
    km_fulltriangle = kernel.get_kernel_matrix()

    kernel.set_full_kernel_matrix_from_full(symdata)
    km_fullfull = kernel.get_kernel_matrix()
    return km_fullfull, kernel

Beispiel #3

Datei: kernel_custom_modular.py Projekt: coodoing/shogun

def kernel_custom_modular (dim=7):
	from numpy.random import rand, seed
	from numpy import array, float32
	from shogun.Features import RealFeatures
	from shogun.Kernel import CustomKernel

	seed(17)
	data=rand(dim, dim)
	feats=RealFeatures(data)
	symdata=data+data.T
	lowertriangle=array([symdata[(x,y)] for x in range(symdata.shape[1])
		for y in range(symdata.shape[0]) if y<=x])

	kernel=CustomKernel()

	# once with float64's
	kernel.set_triangle_kernel_matrix_from_triangle(lowertriangle)
	km_triangletriangle=kernel.get_kernel_matrix()

	kernel.set_triangle_kernel_matrix_from_full(symdata)
	km_fulltriangle=kernel.get_kernel_matrix()

	kernel.set_full_kernel_matrix_from_full(symdata)
	km_fullfull=kernel.get_kernel_matrix()

	# now once with float32's
	data=array(data,dtype=float32)

	kernel.set_triangle_kernel_matrix_from_triangle(lowertriangle)
	km_triangletriangle=kernel.get_kernel_matrix()

	kernel.set_triangle_kernel_matrix_from_full(symdata)
	km_fulltriangle=kernel.get_kernel_matrix()

	kernel.set_full_kernel_matrix_from_full(symdata)
	km_fullfull=kernel.get_kernel_matrix()
	return km_fullfull,kernel