This file contains ambiguous Unicode characters that may be confused with others in your current locale. If your use case is intentional and legitimate, you can safely ignore this warning. Use the Escape button to highlight these characters.
# Example：
from sklearn import datasets
import numpy
from numpy import *
from sklearn import svm
print ('''加载数据集''')
digits = datasets.load_digits()
# 例如在digits数据集中，digits.data是可以用来分类数字样本的特征
print(digits.data,"type(digits.data)=%s"%type(digits.data))
print("shape(digits.data)=%s,%s"%shape(digits.data))
print (digits.target)
print ('''训练和预测''')
#选择参数
clf = svm.SVC(gamma=0.0001,C=100)
# 进行训练
clf.fit(digits.data[:-1],digits.target[:-1])
# 进行预测
print (clf.predict(digits.data[:-1]))
