实例如下：
# -*- coding:utf-8 -*-
from numpy import *
import numpy as np
import pandas as pd
from math import log
import operator
#计算数据集的香农熵
def calcShannonEnt(dataSet):
numEntries=len(dataSet)
labelCounts={}
#给所有可能分类创建字典
for featVec in dataSet:
模型融合_代码示例部分
#导入工具包
import numpy as np
import pandas as pd
from sklearn import metrics
from sklearn import linear_model
from sklearn.datasets import make_blobs # 这是打包好的波士顿房价数据集
from sklearn import datasets
from sklearn.tree import DecisionTreeClas
