Python RealFeatures.apply_preprocの例

コード例 #1

ファイル: preproc_normone_modular.py プロジェクト: memimo/shogun-liblinear

def norm_one ():
	print 'NormOne'

	from shogun.Kernel import Chi2Kernel
	from shogun.Features import RealFeatures
	from shogun.PreProc import NormOne

	feats_train=RealFeatures(fm_train_real)
	feats_test=RealFeatures(fm_test_real)

	preproc=NormOne()
	preproc.init(feats_train)
	feats_train.add_preproc(preproc)
	feats_train.apply_preproc()
	feats_test.add_preproc(preproc)
	feats_test.apply_preproc()

	width=1.4
	size_cache=10
	
	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()

コード例 #2

ファイル: preproc_logplusone_modular.py プロジェクト: frx/shogun

def preproc_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_preproc(preproc)
    feats_train.apply_preproc()
    feats_test.add_preproc(preproc)
    feats_test.apply_preproc()

    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

コード例 #3

ファイル: preproc_prunevarsubmean_modular.py プロジェクト: memimo/shogun-liblinear

def prune_var_sub_mean ():
	print 'PruneVarSubMean'

	from shogun.Kernel import Chi2Kernel
	from shogun.Features import RealFeatures
	from shogun.PreProc import PruneVarSubMean

	feats_train=RealFeatures(fm_train_real)
	feats_test=RealFeatures(fm_test_real)

	preproc=PruneVarSubMean()
	preproc.init(feats_train)
	feats_train.add_preproc(preproc)
	feats_train.apply_preproc()
	feats_test.add_preproc(preproc)
	feats_test.apply_preproc()

	width=1.4
	size_cache=10
	
	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()

コード例 #4

ファイル: preproc_prunevarsubmean_modular.py プロジェクト: xfrancv/shogun

def preproc_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.PreProc import PruneVarSubMean

    feats_train = RealFeatures(fm_train_real)
    feats_test = RealFeatures(fm_test_real)

    preproc = PruneVarSubMean()
    preproc.init(feats_train)
    feats_train.add_preproc(preproc)
    feats_train.apply_preproc()
    feats_test.add_preproc(preproc)
    feats_test.apply_preproc()

    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

コード例 #5

ファイル: preproc_prunevarsubmean_modular.py プロジェクト: haipengwang/shogun

def preproc_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.PreProc import PruneVarSubMean

    feats_train = RealFeatures(fm_train_real)
    feats_test = RealFeatures(fm_test_real)

    preproc = PruneVarSubMean()
    preproc.init(feats_train)
    feats_train.add_preproc(preproc)
    feats_train.apply_preproc()
    feats_test.add_preproc(preproc)
    feats_test.apply_preproc()

    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

コード例 #6

ファイル: preproc_normone_modular.py プロジェクト: alesis/shogun

def preproc_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)

	preproc=NormOne()
	preproc.init(feats_train)
	feats_train.add_preproc(preproc)
	feats_train.apply_preproc()
	feats_test.add_preproc(preproc)
	feats_test.apply_preproc()

	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