Process Window: Include more than one attribute

tomMEM

Hello, I try to prepare a collection of exampleSets for LSTM deep learning. Using Process Window it is possible to get easily the collection for one time-series attribute (temperature) as well as a horizontal label (temperature + 5). However, I could not find out how to get included several additional time-series attributes (humidity, cloud level etc.). I can do it one by one using join, but it is not a very flexible approach.

Suggestions are welcome. Best. T

Caperez

Hi @behnish,

the solution for recurrent operations is always the loop operators.

If you need to create an exampleset for a subset of your attributes you can run a loop attribute and inside of it a windowing operator using %{loop_attribute} as target attribute.

It will operate over your attributes creating the same windows size and horizon size for each one.  

By other hand, if you only need to create one horizon attribute and include the any other attributes into the exampleset you need to select a subset option into the attribute filter type in windowing options and then select all the attributes that you need

Best 

Cesar