I am currently designing a custom gym environment that is based on sensor data and I struggle a bit with structuring the data and designing the model. Virtually every resource I find online is kind of vision based, in the sense that it takes images as input arrays.
Data structure
For each time step, I get a couple of readings from each sensor. This would be an example reading from one sensor, with ...
representing other variables.
{
"temperature":"20.3",
"humidity":"63",
...
}
Now I see two approaches how to structure the input array for a model (t
being temperature, h
being humidity):
[
[t,h,...],
[t,h,...],
]
[
[t,t,...],
[h,h,...],
]
Note that this represents the data for one time-step and is not representing a series of time-steps.
Question
Does it make a difference how I structure that data?