def __init__(self):
super(HeteroLinRArbiter, self).__init__()
self.gradient_loss_operator = hetero_linr_gradient_and_loss.Arbiter()
self.model_param = LinearParam()
self.n_iter_ = 0
self.header = None
self.model_param_name = 'HeteroLinearRegressionParam'
self.model_meta_name = 'HeteroLinearRegressionMeta'
self.is_converged = False
self.mode = consts.HETERO
self.in_one_vs_rest = False
def __init__(self):
super(HeteroLinRArbiter, self).__init__()
self.gradient_loss_operator = hetero_linr_gradient_and_loss.Arbiter()
self.model_param = LinearParam()
self.n_iter_ = 0
self.header = None
self.model_param_name = 'HeteroLinearRegressionParam'
self.model_meta_name = 'HeteroLinearRegressionMeta'
self.model_name = 'HeteroLinearRegression'
self.is_converged = False
self.mode = consts.HETERO
self.need_call_back_loss = True
self.transfer_variable = HeteroLinRTransferVariable()
def __init__(self):
super(BaseLinearRegression, self).__init__()
self.model_param = LinearParam()
# attribute:
self.n_iter_ = 0
self.feature_shape = None
self.gradient_operator = None
self.initializer = Initializer()
self.transfer_variable = None
self.loss_history = []
self.is_converged = False
self.header = None
self.model_name = 'LinearRegression'
self.model_param_name = 'LinearRegressionParam'
self.model_meta_name = 'LinearRegressionMeta'
self.role = ''
self.mode = ''
self.schema = {}
self.cipher_operator = PaillierEncrypt()