def preprocessor_randomfouriergausspreproc_modular(fm_train_real=traindat,
fm_test_real=testdat,
width=1.4,
size_cache=10):
from shogun.Kernel import Chi2Kernel
from shogun.Features import RealFeatures
from shogun.Preprocessor import RandomFourierGaussPreproc
feats_train = RealFeatures(fm_train_real)
feats_test = RealFeatures(fm_test_real)
preproc = RandomFourierGaussPreproc()
preproc.init(feats_train)
feats_train.add_preprocessor(preproc)
feats_train.apply_preprocessor()
feats_test.add_preprocessor(preproc)
feats_test.apply_preprocessor()
kernel = Chi2Kernel(feats_train, feats_train, width, size_cache)
km_train = kernel.get_kernel_matrix()
kernel.init(feats_train, feats_test)
km_test = kernel.get_kernel_matrix()
return km_train, km_test, kernel
def preprocessor_logplusone_modular(fm_train_real=traindat,
fm_test_real=testdat,
width=1.4,
size_cache=10):
from shogun.Kernel import Chi2Kernel
from shogun.Features import RealFeatures
from shogun.Preprocessor import LogPlusOne
feats_train = RealFeatures(fm_train_real)
feats_test = RealFeatures(fm_test_real)
preproc = LogPlusOne()
preproc.init(feats_train)
feats_train.add_preprocessor(preproc)
feats_train.apply_preprocessor()
feats_test.add_preprocessor(preproc)
feats_test.apply_preprocessor()
kernel = Chi2Kernel(feats_train, feats_train, width, size_cache)
km_train = kernel.get_kernel_matrix()
kernel.init(feats_train, feats_test)
km_test = kernel.get_kernel_matrix()
return km_train, km_test, kernel
def preprocessor_prunevarsubmean_modular(fm_train_real=traindat,
fm_test_real=testdat,
width=1.4,
size_cache=10):
from shogun.Kernel import Chi2Kernel
from shogun.Features import RealFeatures
from shogun.Preprocessor import PruneVarSubMean
feats_train = RealFeatures(fm_train_real)
feats_test = RealFeatures(fm_test_real)
preproc = PruneVarSubMean()
preproc.init(feats_train)
feats_train.add_preprocessor(preproc)
feats_train.apply_preprocessor()
feats_test.add_preprocessor(preproc)
feats_test.apply_preprocessor()
kernel = Chi2Kernel(feats_train, feats_train, width, size_cache)
km_train = kernel.get_kernel_matrix()
kernel.init(feats_train, feats_test)
km_test = kernel.get_kernel_matrix()
return km_train, km_test, kernel
def preprocessor_randomfouriergausspreproc_modular (fm_train_real=traindat,fm_test_real=testdat,width=1.4,size_cache=10): from shogun.Kernel import Chi2Kernel from shogun.Features import RealFeatures from shogun.Preprocessor import RandomFourierGaussPreproc feats_train=RealFeatures(fm_train_real) feats_test=RealFeatures(fm_test_real) preproc=RandomFourierGaussPreproc() preproc.init(feats_train) feats_train.add_preprocessor(preproc) feats_train.apply_preprocessor() feats_test.add_preprocessor(preproc) feats_test.apply_preprocessor() kernel=Chi2Kernel(feats_train, feats_train, width, size_cache) km_train=kernel.get_kernel_matrix() kernel.init(feats_train, feats_test) km_test=kernel.get_kernel_matrix() return km_train,km_test,kernel
def preprocessor_prunevarsubmean_modular (fm_train_real=traindat,fm_test_real=testdat,width=1.4,size_cache=10): from shogun.Kernel import Chi2Kernel from shogun.Features import RealFeatures from shogun.Preprocessor import PruneVarSubMean feats_train=RealFeatures(fm_train_real) feats_test=RealFeatures(fm_test_real) preproc=PruneVarSubMean() preproc.init(feats_train) feats_train.add_preprocessor(preproc) feats_train.apply_preprocessor() feats_test.add_preprocessor(preproc) feats_test.apply_preprocessor() kernel=Chi2Kernel(feats_train, feats_train, width, size_cache) km_train=kernel.get_kernel_matrix() kernel.init(feats_train, feats_test) km_test=kernel.get_kernel_matrix() return km_train,km_test,kernel
def preprocessor_normone_modular (fm_train_real=traindat,fm_test_real=testdat,width=1.4,size_cache=10): from shogun.Kernel import Chi2Kernel from shogun.Features import RealFeatures from shogun.Preprocessor import NormOne feats_train=RealFeatures(fm_train_real) feats_test=RealFeatures(fm_test_real) preprocessor=NormOne() preprocessor.init(feats_train) feats_train.add_preprocessor(preprocessor) feats_train.apply_preprocessor() feats_test.add_preprocessor(preprocessor) feats_test.apply_preprocessor() kernel=Chi2Kernel(feats_train, feats_train, width, size_cache) km_train=kernel.get_kernel_matrix() kernel.init(feats_train, feats_test) km_test=kernel.get_kernel_matrix() return km_train,km_test,kernel
