KNN_TextClassifier 0.0.0

示例用法

>>>importKNN_TextClassifier#load random Data,Labels>>>dataMatrix,labels=KNN_TextClassifier.loadData(feature_num=4,rows=10)#norm Data reduce influence of high ranges>>>normDataSet=KNN_TextClassifier.norm(dataMatrix)#predict K should be odd to avoid voting result like {('A',2),('B',2)} difficult choice.#Parameter format classify(testData,TrainData,TrainData_Labels,K)'''
                testData and TrainData should be 2-D list. row represents a text data. Columns represent feature values.
                TrainData_Labels should be a list like ['A','B','C'] an element represents a row of TrainData's class.
                K should be odd as I said before.
        '''>>>printKNN_TextClassifier.classify([[1,2,3,4],[2],[3]],dataMatrix,labels,K=3)['C','C','C']#predict>>>printKNN_TextClassifier.classify([['天气好','2','3','4'],['2'],['3']],dataMatrix,labels,K=3)['C','A','C']#get transformed vector>>>vector,vocabList=KNN_TextClassifier.word2VectorMatrix([['1','2','3','4'],['2'],['3']])>>>printvector[[1.1.1.1.][0.0.1.0.][0.1.0.0.]]#get transformed vocabList>>>printvocabList['1','3','2','4']

安装

$ pip install KNN_TextClassifier

链接

• Code on Github