def setUp(self):
# use default setting
eggroll.init("123")
logistic_param = LogisticParam()
self.model = BaseLogisticRegression(logistic_param)
self.model.header = []
self.data_instance = self.__prepare_data()
def _initialize_model(self, config):
logistic_param = LogisticParam()
local_model_param = LocalModelParam()
self.logistic_param = ParamExtract.parse_param_from_config(logistic_param, config)
local_model_param = ParamExtract.parse_param_from_config(local_model_param, config)
self.local_model = self._create_local_model(local_model_param)
self.model = HeteroDNNLRHost(self.local_model, self.logistic_param)
self.model.set_data_shape(local_model_param.encode_dim)
def _initialize_model(self, config):
logistic_param = LogisticParam()
local_model_param = LocalModelParam()
self.logistic_param = ParamExtract.parse_param_from_config(
logistic_param, config)
local_model_param = ParamExtract.parse_param_from_config(
local_model_param, config)
self.local_model = self._create_local_model(local_model_param)
self.model = HeteroDNNLRGuest(self.local_model, self.logistic_param)
self.model.set_feature_shape(local_model_param.encode_dim)
self.model.set_header(self._create_header(
local_model_param.encode_dim))
self.model.set_local_model_update_proxy(
SemiEncryptedLocalModelUpdateProxy())
def _initialize_model(self, config):
logistic_param = LogisticParam()
self.logistic_param = ParamExtract.parse_param_from_config(
logistic_param, config)
self.model = HeteroLRHost(self.logistic_param)
def _initialize_model(self, runtime_conf_path):
logistic_param = LogisticParam()
self.logistic_param = ParamExtract.parse_param_from_config(
logistic_param, runtime_conf_path)
self.model = HomoLRArbiter(self.logistic_param)
