Python testingNB Beispiele

Beispiel #1

def tests():
    bayes.testingNB()
    bayes.spamTest()

Beispiel #2

Datei: test.py Projekt: DaPangYuanBuEr/datamining

# -*- coding: UTF-8 -*-    或者  #coding=utf-8
'''
Created on 2016年8月20日

@author: xiaoyuan
'''

import bayes
bayes.testingNB()

Beispiel #3

Datei: test.py Projekt: wang4yu6peng13/MachineLearningInAction

listOPosts, listClasses = bayes.loadDataSet()
myVocabList = bayes.createVocabList(listOPosts)
print myVocabList
print bayes.setOfWords2Vec(myVocabList, listOPosts[0])
print bayes.setOfWords2Vec(myVocabList, listOPosts[3])

trainMat = []
for postinDoc in listOPosts:
    trainMat.append(bayes.setOfWords2Vec(myVocabList, postinDoc))
p0V, p1V, pAb = bayes.trainNB0(trainMat, listClasses)
print pAb
print p0V
print p1V

bayes.testingNB()

print '==email classify=='
bayes.spamTest()
print '==email classify=='
bayes.spamTest()
print '==email classify=='
bayes.spamTest()

print '==feedparser classify=='
ny = feedparser.parse('http://newyork.craigslist.org/stp/index.rss')
sf = feedparser.parse('http://sfbay.craigslist.org/stp/index.rss')
vocabList, pSF, pNY = bayes.localWords(ny, sf)
vocabList, pSF, pNY = bayes.localWords(ny, sf)

bayes.getTopWords(ny, sf)

Beispiel #4

Datei: bayesTest.py Projekt: tantexian/MLAction

 def test_nb(self):
     bayes.testingNB()

Beispiel #5

Datei: test.py Projekt: squirrelim/machine-learning-in-action

import bayes
from numpy import *

listOPosts, listClasses = bayes.loadDataSet()
# print(listOPosts)
myVocalList = bayes.createVocabList(listOPosts)
# print(myVocalList)
#
# print(bayes.setOfwords2Vec(myVocalList,listOPosts[0]))
# trainMat=[]
# for postinDoc in listOPosts:
#     trainMat.append(bayes.setOfwords2Vec(myVocalList,postinDoc))
# p0V,p1V,pAb=bayes.trainNB0(trainMat,listClasses)
# print(pAb,p0V,p1V)
print(bayes.testingNB())

Beispiel #6

# -*- coding:utf-8 -*-
import bayes
print bayes.testingNB()