I’m modelling with reject inference in SAS Visual Machine Learning, I have used the reject inference node with parcelling. Previously, I’ve created models with reject inference in SAS Miner, where it assigned a weight to every registry in the dataset, assigning 1 to accepted and a given weight between 0 and 1 to the inferred data. However, in SAS Viya, the weights are all 1, in accepted and inferred. I don’t need all the data in my modelling augmented data, but I don’t want to lose information by creating a random sample that mimics the weight assigned previously in Miner. The weight is given by the following equation:     I’ve tried assing this weight manually, assigning it as a Weight variable, but the node doesn’t read it, it includes all the observations for the rejected data with no calculated weight.         Train set Accepted:   Inferred:   I haven’t found enough information in internet to solve this problem. Thanks! ... View more

I'm working on a project in SAS Viya- Build Models, where I uploaded the data using a predefined partition variable. When I try to run the node with my rejected base and a manual partition variable, it doesn't work. I also tried uploading the rejected base without any partition variables   ... View more

I'm working on a project in SAS Viya- Build Models, where I uploaded the data using a predefined partition variable. When I try to run the Rejected Inference node with my rejected base and a manual partition variable, it doesn't work. I also tried uploading the rejected base without any partition variables ... View more