将列表转为svm输入

Question

我正在使用python和scikit学习实现svm模型。我已经选择并转换了我的特征，并将它们合并到一个列表中，如下所示:

[[17, 14, 14, 7, 14, 14, 14, 7, 14, 14, 1], 
 [14, 14, 7, 14, 14, 14, 7, 14, 14, 7, 1], 
 [14, 7, 14, 14, 14, 7, 14, 14, 7, 14, 1], 
 [7, 14, 14, 14, 7, 14, 14, 7, 14, 7, 1], 
 [14, 14, 14, 7, 14, 14, 7, 14, 7, 14, 1], 
 [14, 14, 7, 14, 14, 7, 14, 7, 14, 7, 1], 
 [14, 7, 14, 14, 7, 14, 7, 14, 7, 13, 1], 
 [7, 14, 14, 7, 14, 7, 14, 7, 13, 7, 1], 
 [14, 14, 7, 14, 7, 14, 7, 13, 7, 14, 1], 
 [14, 7, 14, 7, 14, 7, 13, 7, 14, 10, 1], 
 [7, 14, 7, 14, 7, 13, 7, 14, 10, 4, 1], 
 [14, 7, 14, 7, 13, 7, 14, 10, 4, 13, 1], 
 [7, 14, 7, 13, 7, 14, 10, 4, 13, 13, 1], 
 [14, 7, 13, 7, 14, 10, 4, 13, 13, 7, 1], 
 [7, 13, 7, 14, 10, 4, 13, 13, 7, 13, 1], 
 [13, 7, 14, 10, 4, 13, 13, 7, 13, 3, 1], 
 [7, 14, 10, 4, 13, 13, 7, 13, 3, 13, 1], 
 [14, 10, 4, 13, 13, 7, 13, 3, 13, 13, 1], 
 [10, 4, 13, 13, 7, 13, 3, 13, 13, 3, 1], 
 [4, 13, 13, 7, 13, 3, 13, 13, 3, 13, 0], 
 [13, 13, 7, 13, 3, 13, 13, 3, 13, 13, 0], 
 [13, 7, 13, 3, 13, 13, 3, 13, 13, 14, 0]]

每个元组中的最后一个数字是标签。我试图找到一种方法来创建一个数据集，可以分离数据和目标，以建立一个模型。我在文档中找不到类似的东西。把它转回Dataframe会更容易吗?

谢谢!

Answer 1

你的意思是把特征和标签分开吗?如果是，可以使用numpy.

from sklearn import svm
import numpy as np
data = np.asarray(A)
X = data[:,:-1]
y = data[:,-1]
clf = svm.SVC()
clf.fit(X, y)

A为原始数据列表。