In the examples in the code, it looks like I can only feed it one time series (contrary to say a tensorflow neural net, where I feed it many time series).
What if my dataset is something like:
- Series 1: 1,2,3,300
- Series 2: 4,5,6,600
- Series 3: 10,11,12,1200
How do I get this library to provide useful predictions?
Would just "stitching"/concatenating the series together into a single series work? That somehow feels wrong.
Thanks for anyone with any idea about this.
In the examples in the code, it looks like I can only feed it one time series (contrary to say a tensorflow neural net, where I feed it many time series).
What if my dataset is something like:
How do I get this library to provide useful predictions?
Would just "stitching"/concatenating the series together into a single series work? That somehow feels wrong.
Thanks for anyone with any idea about this.