def setUp(self):
self.paillier_encrypt = PaillierEncrypt()
self.paillier_encrypt.generate_key()
# self.hetero_lr_gradient = HeteroLogisticGradient(self.paillier_encrypt)
self.hetero_lr_gradient = hetero_lr_gradient_and_loss.Guest()
size = 10
self.wx = session.parallelize(
[self.paillier_encrypt.encrypt(i) for i in range(size)])
self.en_sum_wx_square = session.parallelize(
[self.paillier_encrypt.encrypt(np.square(i)) for i in range(size)])
self.w = [i for i in range(size)]
self.data_inst = session.parallelize([
Instance(features=[1 for _ in range(size)], label=pow(-1, i % 2))
for i in range(size)
],
partition=1)
# test fore_gradient
self.fore_gradient_local = [
-0.5, 0.75, 0, 1.25, 0.5, 1.75, 1, 2.25, 1.5, 2.75
]
# test gradient
self.gradient = [
1.125, 1.125, 1.125, 1.125, 1.125, 1.125, 1.125, 1.125, 1.125,
1.125
]
self.gradient_fit_intercept = [
1.125, 1.125, 1.125, 1.125, 1.125, 1.125, 1.125, 1.125, 1.125,
1.125, 1.125
]
self.loss = 4.505647
def __init__(self):
super().__init__()
self.data_batch_count = []
# self.guest_forward = None
self.role = consts.GUEST
self.cipher = paillier_cipher.Guest()
self.batch_generator = batch_generator.Guest()
self.gradient_loss_operator = hetero_lr_gradient_and_loss.Guest()
self.converge_procedure = convergence.Guest()