Ok, I’m definitely fucking something along the way.
After the chunking step I get datasets with the following contents.
fluid.dataset~ ball.target
contains:
rows: 5021 cols: 90
0 0.51603 0.47579 0.4732 … 0 0 0
1 0.51603 0.47579 0.4732 … 0 0 0
2 0.51603 0.47579 0.47472 … 0 0 0
…
5018 0.67166 1 0.26528 … 0 0 0
5019 0 0 0 … 0 0 0
5020 0 0 0 … 0 0 0
and fluid.dataset~ ball.input
contains:
rows: 5021 cols: 90
0 0 0 0 … 0 0 0
1 0.51603 0.47579 0.4732 … 0 0 0
2 0.51603 0.47579 0.4732 … 0 0 0
…
5018 0.67166 1 0.26876 … 0 0 0
5019 0.67166 1 0.26528 … 0 0 0
5020 0 0 0 … 0 0 0
I’ve set the chunk size to 10, and the features to 9 (for my controller stream). I also set the initial recording to bl.gest.record~ ball_trajectory 9
, so I think that should be correct. Don’t know why the datasets would be so empty.
The training happened really quickly now too, and gave me an error of -1. So I guess that’s lower than 33, but don’t think it’s supposed to go in that direction.