Hello NuPIC It's me again. I have several new questions and hope for explanation. 1. It's about my last question "How to update the newest NuPIC version". I pasted the output of command "py.test --version" but I didn't get any reply later. Are there any new ideas or suggestions? 2. Now I have a dataset with 50 attributes (including attribute 1: date, and attributes 2-50: scalar value). I want to make prediction(attribute 50, for example). If I don't take sequential relationship into consideration, and just use linear regression, there are relationship between attribute 50 and attributes 2-49. If I want to predict attribute 50 at time T depending on previous information, I think I need to use TP of HTM. But I still want to make full use of attribute 2-49 at the same time. I found there is an item "field contribution". I want to know how does it calculate. Does it range from 0 to 1 and 0 represents no contribution and 1 represents strong contribution?
3. Maybe I will get a low contribution of these contributions. Is it possible to encode attributes 2-49 into one long encoding, and predict attribute 50 depending on attributes 2-49 in TP mode? Hoping for your reply and thank you so much. Yajingfu
