def __init__(self, pretransformation_name, k): MClassifier.__init__(self) self.pretransformation = pretransformation_name #those are the scores of the pretransformation applied in the train set by feature (ex: idf transformation) self.transformation_scores_by_feature = None #those represents the resulting matrixes from the decompositon X_hat = U.D.V with ||X-X_hat|| small self.u_matrix = None self.s_vector = None self.v_matrix = None self.k = 20 if k!= None: self.k = k
def __init__(self, pretransformation_name, a_constrains_name, b_constrains_name, k): MClassifier.__init__(self) #initialize the name of the different transformations and constranis for the lcbmf self.pretransformation_name = pretransformation_name self.a_constrains_name = a_constrains_name self.b_constrains_name = b_constrains_name #those represents the resulting matrixes from the decompositon X_hat = A.B with ||X-X_hat|| small and A, B obeing to some constrains self.a_matrix = None self.b_matrix = None self.k = 20 if k != None: self.k=k
