将列表转换为 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如下所示的列表中：

[[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。我正在尝试找到一种方法来创建一个数据集，该数据集可以将数据和目标分开以构建模型。我在文档中找不到类似的内容。将其转回 Dataframe 会更容易吗？

谢谢！

Answer 1

你的意思是将特征与标签分开？如果是这样，你可以使用 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

将列表转换为 svm 输入

Turning list to svm input

python

dataset

svm

scikit-learn