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
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
