更新注释

This commit is contained in:
jiangzhonglian
2017-03-26 18:12:25 +08:00
parent 0bf2130751
commit 95a29ca47e
6 changed files with 46 additions and 346 deletions

View File

@@ -267,10 +267,10 @@ if __name__ == "__main__":
D = mat(ones((5, 1))/5)
print 'D=', D.T
bestStump, minError, bestClasEst = buildStump(dataArr, labelArr, D)
print 'bestStump=', bestStump
print 'minError=', minError
print 'bestClasEst=', bestClasEst.T
# bestStump, minError, bestClasEst = buildStump(dataArr, labelArr, D)
# print 'bestStump=', bestStump
# print 'minError=', minError
# print 'bestClasEst=', bestClasEst.T
# 分类器weakClassArr
@@ -288,14 +288,14 @@ if __name__ == "__main__":
print adaClassify([0, 0], weakClassArr).T
print adaClassify([[5, 5], [0, 0]], weakClassArr).T
# 马疝病数据集
# 训练集合
# # 马疝病数据集
# # 训练集合
# dataArr, labelArr = loadDataSet("testData/AB_horseColicTraining2.txt")
# weakClassArr, aggClassEst = adaBoostTrainDS(dataArr, labelArr, 40)
# print weakClassArr, '\n-----\n', aggClassEst.T
# 计算ROC下面的AUC的面积大小
# # 计算ROC下面的AUC的面积大小
# plotROC(aggClassEst.T, labelArr)
# 测试集合
# # 测试集合
# dataArrTest, labelArrTest = loadDataSet("testData/AB_horseColicTest2.txt")
# m = shape(dataArrTest)[0]
# predicting10 = adaClassify(dataArrTest, weakClassArr)