本文整理汇总了Python中shogun.Classifier.LibSVM.set_bias方法的典型用法代码示例。如果您正苦于以下问题：Python LibSVM.set_bias方法的具体用法？Python LibSVM.set_bias怎么用？Python LibSVM.set_bias使用的例子？那么, 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.Classifier.LibSVM的用法示例。
在下文中一共展示了LibSVM.set_bias方法的1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: loadSVM
# 需要导入模块: from shogun.Classifier import LibSVM [as 别名]
# 或者: from shogun.Classifier.LibSVM import set_bias [as 别名]
def loadSVM(pickled_svm_filename, C, labels):
"""Loads a Shogun SVM object which was pickled by saveSVM"""
from cPickle import Unpickler, PickleError
from shogun.Kernel import CombinedKernel
pickle_file = open(pickled_svm_filename, 'rb')
unpck = Unpickler(pickle_file)
(version, num_sv, name, bias, alphas, svs) = unpck.load()
if (version == __version__):
svm = LibSVM(num_sv) # same as .create_new_model(num_sv)
svm.set_bias(bias)
svm.set_alphas(alphas)
svm.set_support_vectors(svs)
kernel = CombinedKernel() #not sure if this is even required
kernel.set_name(name) # maybe not required
svm.set_kernel(kernel)
else:
print "File was pickled by another version of EasySVM.py or is not a kernel:"
print "Received from ", pickled_svm_filename, ": ", version, " expected: ", __version__
raise PickleError
return svm