(self, data_instances)
Prediction of poisson
        Parameters
        ----------
        data_instances:Table of Instance, input data
Prediction of poisson
        Parameters
        ----------
        data_instances:Table of Instance, input data
Prediction of poisson Parameters ---------- data_instances : Table of Instance input data
def predict(self, data_instances):
        """
        Prediction of poisson
        Parameters
        ----------
        data_instances:Table of Instance, input data
        """
        self.transfer_variable.host_partial_prediction.disable_auto_clean()
        LOGGER.info("Start predict ...")

        self._abnormal_detection(data_instances)
        data_instances = self.align_data_header(data_instances, self.header)
        pred_host = self.compute_mu(data_instances, self.model_weights.coef_, self.model_weights.intercept_)
        self.transfer_variable.host_partial_prediction.remote(pred_host, role=consts.GUEST, idx=0)

        LOGGER.info("Remote partial prediction to Guest")
def predict ( self , data_instances ) : self . transfer_variable . host_partial_prediction . disable_auto_clean ( ) LOGGER . info ( "Start predict ..." ) self . _abnormal_detection ( data_instances ) data_instances = self . align_data_header ( data_instances , self . header ) pred_host = self . compute_mu ( data_instances , self . model_weights . coef_ , self . model_weights . intercept_ ) self . transfer_variable . host_partial_prediction . remote ( pred_host , role = consts . GUEST , idx = 0 ) LOGGER . info ( "Remote partial prediction to Guest" )