def __init__(self):
super(BasePoissonRegression, self).__init__()
self.model_param = PoissonParam()
# attribute:
self.model_name = 'PoissonRegression'
self.model_param_name = 'PoissonRegressionParam'
self.model_meta_name = 'PoissonRegressionMeta'
self.cipher_operator = PaillierEncrypt()
self.exposure_index = -1
def __init__(self):
super(HeteroPoissonArbiter, self).__init__()
self.gradient_loss_operator = hetero_poisson_gradient_and_loss.Arbiter(
)
self.model_param = PoissonParam()
self.n_iter_ = 0
self.header = None
self.model_param_name = 'HeteroPoissonRegressionParam'
self.model_meta_name = 'HeteroPoissonRegressionMeta'
self.is_converged = False
self.mode = consts.HETERO
self.in_one_vs_rest = False
def __init__(self):
super(HeteroPoissonArbiter, self).__init__()
self.gradient_loss_operator = hetero_poisson_gradient_and_loss.Arbiter()
self.model_param = PoissonParam()
self.n_iter_ = 0
self.header = None
self.model_param_name = 'HeteroPoissonRegressionParam'
self.model_meta_name = 'HeteroPoissonRegressionMeta'
self.model_name = 'HeteroPoissonRegression'
self.is_converged = False
self.mode = consts.HETERO
self.need_call_back_loss = True
self.transfer_variable = HeteroPoissonTransferVariable()