Python Trees.createDataSet示例

示例#1

文件： test.py 项目： ricklovelisa/python_Machine_Learning_in_Action

# -*- coding: utf-8 -*-

from numpy import *
import Trees

myDat, labels = Trees.createDataSet()

print Trees.calcEntropy(myDat)

示例#2

文件： test.py 项目： 18242360613/Decision_Tree

import operator
import sys
sys.path.append('E:\MeachineLearn\Decision_Tree\DecisionTree\Trees.py')
sys.path.append('E:\MeachineLearn\Decision_Tree\DecisionTree\treePlotter.py')
import Trees
import treePlotter

#fr = open('E:\machinelearninginaction\Ch03\lenses.txt');
#lenses = [inst.strip().split('\t') for  inst in fr.readlines()]
#lensesLabels = ['age','prescript','astigmatic','tearRate']
#lensesTree = Trees.createTree(lenses,lensesLabels)
#print(lensesTree)
#treePlotter.createPlot(lensesTree);

dataSet, labels = Trees.createDataSet()
print(labels)

mytree = Trees.createtree(dataSet, labels)

label = Trees.classify(mytree, labels, [1, 0])

print(label)