def __init__(self):
print('Initiating ...')
# 标签
self.labelList = ['财经', '房产', '股票', '教育', '科技',
'社会', '时政', '体育', '游戏', '娱乐']
self.labelLen = len(self.labelList)
# 算法生成向量维度
self.dimension = 5000
# LDA模型遍历语料库次数
self.ldaPasses = 10
#print('Loading data ...')
# 导入数据
#self.dL = Ld.LoadData()
#self.trainData = self.dL.loadCsvData('tmp/trainDataSet.csv')
#self.testData = self.dL.loadCsvData('tmp/testDataSet.csv')
#self.texts, self.labels = self.dL.loadScData('../THUCNews_final')
#print('datalen:',len(self.texts))
#print('Spliting data ...')
#self.x_train, self.x_test, self.y_train, self.y_test = train_test_split(self.texts, self.labels, test_size=0.5)
# SVM对象
self.svm = Ms.MySVM(self.labelLen)
# 贝叶斯对象
self.valuesNumForBayes = 50
self.naiveBayes = Mnb.MyNaiveBayes(self.labelLen, self.valuesNumForBayes)
# EvaluateAndShow对象
self.eas = Eas.EvaluateAndShow()
pass
