Hello I am very new in pytorch, I need some idea about single inference on pertained model. Recently I have implemented DeepAR Time series model for point of interest in pytorch. It worked well for me as they described. What I need is to make inference on pertained model. My idea is to pass a timestamp in a range such as.
inference(start_time, end_time):

     return prediction data frame/dictionary/list

They used basically fixed 192 train and test windows in param .json file. And they do 24 hour predict state. but I want to infer a specific window prediction. My. statement is very general here. Need some idea of approaching. Here is the git hub repo link .  .https://github.com/zhykoties/TimeSeries 4