将Python绑定用于SVM库LIBSVM的示例 [英] An example using python bindings for SVM library, LIBSVM

问题描述

我非常需要在python中使用LibSVM进行分类的任务示例.我不知道输入应该是什么样子，哪个功能负责训练，哪个功能负责测试 谢谢

I am in dire need of a classification task example using LibSVM in python. I don't know how the Input should look like and which function is responsible for training and which one for testing Thanks

推荐答案

LIBSVM从包含两个列表的元组中读取数据.第一个列表包含类，第二个列表包含输入数据.用两个可能的类创建简单的数据集 您还需要通过创建svm_parameter来指定要使用的内核.

LIBSVM reads the data from a tuple containing two lists. The first list contains the classes and the second list contains the input data. create simple dataset with two possible classes you also need to specify which kernel you want to use by creating svm_parameter.

>> from libsvm import *
>> prob = svm_problem([1,-1],[[1,0,1],[-1,0,-1]])
>> param = svm_parameter(kernel_type = LINEAR, C = 10)
  ## training  the model
>> m = svm_model(prob, param)
#testing the model
>> m.predict([1, 1, 1])

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