actual.py 文件源码

def enspredict (Xval, indices):
    '''
        blend models using majority voting scheme
    '''
    totalLabelist = []
    for ind in range (len(Xval)):
        labelist = []
        for model in featureSelectModel:
            label = model.predict( Xval[:, indices ][ind].reshape(1, -1) )
            labelist.append (np.asscalar (label) )

        for model in wholeFeatureModel:
            label = model.predict( Xval[ind].reshape(1, -1) )
            labelist.append (np.asscalar (label) )


        votedLabel = max ( set (labelist), key=labelist.count  )
        totalLabelist.append (votedLabel)

    return totalLabelist