def kernel_custom_modular(dim=7):
from numpy.random import rand, seed
from numpy import array, float32, int32
from modshogun import RealFeatures
from modshogun import CustomKernel
from modshogun import IndexFeatures
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()
# get subset of kernel
row_idx = array(range(3), dtype=int32)
col_idx = array(range(2), dtype=int32)
row_idx_feat = IndexFeatures(row_idx)
col_idx_feat = IndexFeatures(col_idx)
kernel.init(row_idx_feat, col_idx_feat)
km_sub_kernel = kernel.get_kernel_matrix()
# print('Subkernel(3x2):\n%s'%km_sub_kernel)
kernel.remove_all_col_subsets()
kernel.remove_all_row_subsets()
# 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, km_sub_kernel
def kernel_custom_modular (dim=7):
from numpy.random import rand, seed
from numpy import array, float32, int32
from modshogun import RealFeatures
from modshogun import CustomKernel
from modshogun import IndexFeatures
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()
# get subset of kernel
row_idx=array(range(3),dtype=int32)
col_idx=array(range(2),dtype=int32)
row_idx_feat=IndexFeatures(row_idx)
col_idx_feat=IndexFeatures(col_idx)
kernel.init(row_idx_feat, col_idx_feat)
km_sub_kernel=kernel.get_kernel_matrix()
# print('Subkernel(3x2):\n%s'%km_sub_kernel)
kernel.remove_all_col_subsets()
kernel.remove_all_row_subsets()
# 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,km_sub_kernel
def kernel_custom_modular (dim=7): from numpy.random import rand, seed from numpy import array, float32 from modshogun import RealFeatures from modshogun 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
