Python NavieBayes.getTrainedModelInfoの例

コード例 #1

def simpleTest():
    # load saved model from training
    vocabularyList, pWordsSpamicity, pWordsHealthy, pSpam = \
        naiveBayes.getTrainedModelInfo()

    # load test data
    filename = '../emails/test/test.txt'
    smsWords, classLables = naiveBayes.loadSMSData(filename)

    smsType = naiveBayes.classify(vocabularyList, pWordsSpamicity,
                                  pWordsHealthy, pSpam, smsWords[0])
    print smsType

コード例 #2

ファイル: test.py プロジェクト: SelmerZhang/NaiveBayesSpamFilter

def simpleTest():
    # 加载训练好的模型信息
    vocabularyList, pWordsSpamicity, pWordsHealthy, pSpam = \
        naiveBayes.getTrainedModelInfo()

    # 加载测试数据
    filename = '../emails/test/test.txt'
    smsWords, classLables = naiveBayes.loadSMSData(filename)

    smsType = naiveBayes.classify(vocabularyList, pWordsSpamicity,
                                  pWordsHealthy, pSpam, smsWords[0])
    print(smsType)

コード例 #3

ファイル: test.py プロジェクト: QianguoSun/NaiveBayesSpamFilter

def simpleTest():
    # 加载训练好的模型信息
    vocabularyList, pWordsSpamicity, pWordsHealthy, pSpam = \
        naiveBayes.getTrainedModelInfo()

    # 加载测试数据
    filename = '../emails/test/test.txt'
    smsWords, classLables = naiveBayes.loadSMSData(filename)

    smsType = naiveBayes.classify(vocabularyList, pWordsSpamicity,
                                  pWordsHealthy, pSpam, smsWords[0])
    print smsType