mirror of
https://github.com/apachecn/ailearning.git
synced 2026-02-13 15:26:28 +08:00
更新注释
This commit is contained in:
@@ -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)
|
||||
|
||||
Reference in New Issue
Block a user