Hi everyone: I have some data which contain the coordinate, and I want to use the swarms to get a good model_params.py file. But the type used to feed the swarms is not include the coodinate type. It just contains the type below: datetime, int, float, bool, string, list, for the list type, the official document said that it is third-party - not support.
I have received a model_params.py which is configured artficial from a friend. But the parameters in the file is rough, it's hard to adapt the requirment. So I want to know how can I use the swarms handle the coordinate type data to make the opf use the coordinateEncoder to encode. or what's you way to deal with the coordinate included file by the opf. I want to handle the x,y,z as the coordinate, but not three independent number. My data is like: id,time,x,y,z,temperature 38,2015/11/5 18:14:59,184,-184,-5,66 38,2015/11/5 18:15:00,184,-184,-5,66 38,2015/11/5 18:15:01,184,-184,-6,66 38,2015/11/5 18:15:01,184,-184,-6,66 38,2015/11/5 18:15:01,184,-184,-5,66 38,2015/11/5 18:15:03,184,-184,-6,66 38,2015/11/5 18:15:03,184,-184,-6,66 38,2015/11/5 18:15:04,184,-184,-5,66 38,2015/11/5 18:15:05,184,-184,-6,66 38,2015/11/5 18:15:06,184,-184,-5,66 38,2015/11/5 18:15:06,184,-184,-6,66 38,2015/11/5 18:15:07,184,-184,-5,66 The input columns is time, coordinate(x,y,z), temperature. The inferencefield is coordinate. Thanks! Weiru Zeng
