本文整理汇总了Python中shogun.Features.RealFeatures.apply_preprocessor方法的典型用法代码示例。如果您正苦于以下问题：Python RealFeatures.apply_preprocessor方法的具体用法？Python RealFeatures.apply_preprocessor怎么用？Python RealFeatures.apply_preprocessor使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类shogun.Features.RealFeatures的用法示例。
在下文中一共展示了RealFeatures.apply_preprocessor方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: preprocessor_randomfouriergausspreproc_modular
# 需要导入模块: from shogun.Features import RealFeatures [as 别名]
# 或者: from shogun.Features.RealFeatures import apply_preprocessor [as 别名]
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示例2: preprocessor_prunevarsubmean_modular
# 需要导入模块: from shogun.Features import RealFeatures [as 别名]
# 或者: from shogun.Features.RealFeatures import apply_preprocessor [as 别名]
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示例3: preprocessor_normone_modular
# 需要导入模块: from shogun.Features import RealFeatures [as 别名]
# 或者: from shogun.Features.RealFeatures import apply_preprocessor [as 别名]
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