def __init__(self, degree, public_key):
self.degree = degree
self.public_key = public_key
M = int(degree * 4)
poly_degree = M // 2
self.encoder = CKKSEncoder(poly_degree=poly_degree)
self.evaluator = CKKSEvaluator(poly_degree=poly_degree)
def __init__(self, degree, kernel='linear'):
M = int(degree * 4)
poly_degree = M // 2
scale = 1 << 28
big_modulus = 1 << 1200
ciph_modulus = 1 << 600
self.param = CKKSParameters(poly_degree=poly_degree,
ciph_modulus=ciph_modulus,
big_modulus=big_modulus,
scaling_factor=scale)
self.model = SVC(kernel=kernel)
self.keygen = CKKSKeyGenerator(self.param)
self.public_key = self.keygen.public_key
self.secret_key = self.keygen.secret_key
self.encoder = CKKSEncoder(param=self.param)
self.encryptor = CKKSEncryptor(self.param, self.public_key,
self.secret_key)
self.decryptor = CKKSDecryptor(self.param, self.secret_key)
def __init__(self, degree, multi_class='ovr', solver='liblinear'):
M = int(degree * 4)
poly_degree = M // 2
scale = 1 << 28
big_modulus = 1 << 1200
ciph_modulus = 1 << 600
self.param = CKKSParameters(poly_degree=poly_degree,
ciph_modulus=ciph_modulus,
big_modulus=big_modulus,
scaling_factor=scale)
self.model = LogisticRegression(multi_class=multi_class, solver=solver)
self.keygen = CKKSKeyGenerator(self.param)
self.public_key = self.keygen.public_key
self.secret_key = self.keygen.secret_key
self.encoder = CKKSEncoder(param=self.param)
self.encryptor = CKKSEncryptor(self.param, self.public_key,
self.secret_key)
self.decryptor = CKKSDecryptor(self.param, self.secret_key)