sklearnTestrbf - juedaiyuer/researchNote GitHub Wiki

#scikit-learn测试rbf#

>>> from sklearn import datasets
>>> import numpy as np
>>> X, y = datasets.make_blobs(n_features=2, centers=2)
>>> from sklearn.svm import LinearSVC
>>> from sklearn.svm import SVC
>>> y
array([1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0,
       0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0,
       1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0,
       1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1,
       0, 0, 0, 0, 1, 1, 0, 1])
>>> X

##source##

• 测试两种不同的SVM，rbf的核真是太棒了（一种会拐弯的边界）