Ejemplos de RealFeatures.apply_preprocessor en Python

Ejemplo n.º 1

Archivo: preprocessor_prunevarsubmean.py Proyecto: zym-wade/shogun

def preprocessor_prunevarsubmean (fm_train_real=traindat,fm_test_real=testdat,width=1.4,size_cache=10):
	from shogun import Chi2Kernel
	from shogun import RealFeatures
	from shogun 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

Ejemplo n.º 2

def preprocessor_randomfouriergausspreproc (fm_train_real=traindat,fm_test_real=testdat,width=1.4,size_cache=10):
	from shogun import Chi2Kernel
	from shogun import RealFeatures
	from shogun 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

Ejemplo n.º 3

def preprocessor_normone (fm_train_real=traindat,fm_test_real=testdat,width=1.4,size_cache=10):

	from shogun import Chi2Kernel
	from shogun import RealFeatures
	from shogun 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