本文整理汇总了Python中shogun.Kernel.CombinedKernel.get_kernel_matrix方法的典型用法代码示例。如果您正苦于以下问题：Python CombinedKernel.get_kernel_matrix方法的具体用法？Python CombinedKernel.get_kernel_matrix怎么用？Python CombinedKernel.get_kernel_matrix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.Kernel.CombinedKernel的用法示例。
在下文中一共展示了CombinedKernel.get_kernel_matrix方法的2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: kernel_combined_modular
# 需要导入模块: from shogun.Kernel import CombinedKernel [as 别名]
# 或者: from shogun.Kernel.CombinedKernel import get_kernel_matrix [as 别名]
def kernel_combined_modular(fm_train_real=traindat,fm_test_real=testdat,fm_train_dna=traindna,fm_test_dna=testdna ):
from shogun.Kernel import CombinedKernel, GaussianKernel, FixedDegreeStringKernel, LocalAlignmentStringKernel
from shogun.Features import RealFeatures, StringCharFeatures, CombinedFeatures, DNA
kernel=CombinedKernel()
feats_train=CombinedFeatures()
feats_test=CombinedFeatures()
subkfeats_train=RealFeatures(fm_train_real)
subkfeats_test=RealFeatures(fm_test_real)
subkernel=GaussianKernel(10, 1.1)
feats_train.append_feature_obj(subkfeats_train)
feats_test.append_feature_obj(subkfeats_test)
kernel.append_kernel(subkernel)
subkfeats_train=StringCharFeatures(fm_train_dna, DNA)
subkfeats_test=StringCharFeatures(fm_test_dna, DNA)
degree=3
subkernel=FixedDegreeStringKernel(10, degree)
feats_train.append_feature_obj(subkfeats_train)
feats_test.append_feature_obj(subkfeats_test)
kernel.append_kernel(subkernel)
subkfeats_train=StringCharFeatures(fm_train_dna, DNA)
subkfeats_test=StringCharFeatures(fm_test_dna, DNA)
subkernel=LocalAlignmentStringKernel(10)
feats_train.append_feature_obj(subkfeats_train)
feats_test.append_feature_obj(subkfeats_test)
kernel.append_kernel(subkernel)
kernel.init(feats_train, feats_train)
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: kernel_combined_custom_poly_modular
# 需要导入模块: from shogun.Kernel import CombinedKernel [as 别名]
# 或者: from shogun.Kernel.CombinedKernel import get_kernel_matrix [as 别名]
def kernel_combined_custom_poly_modular(fm_train_real = traindat,fm_test_real = testdat,fm_label_twoclass=label_traindat):
from shogun.Features import CombinedFeatures, RealFeatures, BinaryLabels
from shogun.Kernel import CombinedKernel, PolyKernel, CustomKernel
from shogun.Classifier import LibSVM
kernel = CombinedKernel()
feats_train = CombinedFeatures()
tfeats = RealFeatures(fm_train_real)
tkernel = PolyKernel(10,3)
tkernel.init(tfeats, tfeats)
K = tkernel.get_kernel_matrix()
kernel.append_kernel(CustomKernel(K))
subkfeats_train = RealFeatures(fm_train_real)
feats_train.append_feature_obj(subkfeats_train)
subkernel = PolyKernel(10,2)
kernel.append_kernel(subkernel)
kernel.init(feats_train, feats_train)
labels = BinaryLabels(fm_label_twoclass)
svm = LibSVM(1.0, kernel, labels)
svm.train()
kernel = CombinedKernel()
feats_pred = CombinedFeatures()
pfeats = RealFeatures(fm_test_real)
tkernel = PolyKernel(10,3)
tkernel.init(tfeats, pfeats)
K = tkernel.get_kernel_matrix()
kernel.append_kernel(CustomKernel(K))
subkfeats_test = RealFeatures(fm_test_real)
feats_pred.append_feature_obj(subkfeats_test)
subkernel = PolyKernel(10, 2)
kernel.append_kernel(subkernel)
kernel.init(feats_train, feats_pred)
svm.set_kernel(kernel)
svm.apply()
km_train=kernel.get_kernel_matrix()
return km_train,kernel