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Autoscaling is great to prevent "blank" tracks but actually can be really scientifically misleading; at low scales you are just looking at noise.
There should be a per-track option to set a scale for viewing; ideally this would be dynamic so if someone really wanted to see it autoscale or detect that no pixels were drawn and suggest that you turn on autoscaling then a UI button could change it. Anshul says that he can give us good default signals per data type/track type.
Hey @hitz, I think it's a good idea to have a UI option to control scaling. You can currently do it manually in the track configuration by setting autoScale and scale. For example to disable auto-scaling and set scale to 2x:
(The values of the signal are not changed by the 2x scale, just the display – so the y-axis now ranges from 0 to 0.5 rather than 0 to 1)
Do you think a logarithmic display would be a good default for most signal data? Most data I see seems spiky and it's hard to capture the full range when displayed linearly
oh good to know. I've never seen a log scale. Some machine learners apply an sinh^-1 (inverse hyperbolic sin) to increase signal to noise ratio. I don't know what it looks like graphically, though.
Currently auto-scale is always on, would be nice to make that easily configurable by the user
Additionally it would be good to work out a consistent track display settings interface
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