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Smoothing only works if the underlying x-axis is a unit "grid" and then the window must be 1.
This should be a boolean flag where the name makes it clear what it is doing and the type of data it can be applied to.
e.g. something like diffuse_to_unit_interval?
The text was updated successfully, but these errors were encountered:
Both @andeElliott and @leospinaf like this but we are all worried about making unnecessary extra work before publication. @leospinaf thinks it is important for an option / custom code to reproduce paper
One proposal that came up in a discussion with (@leospinaf) that is simple but gets us quite a way there.
Provide a discretisation function, that transforms the variables, prior to being send to the NetEmd comparison/optimisation with four implemented options (and let the user define others if needed)
1 Identity function (nothing is done)
2 Round to nearest integer.
3 Discretise to midpoint of user provided breaks.
4. Simple histogram binning approach, i.e. make bins with breaks at minValue+x*(maxValue-minValue)/10 for x=0,...,10
Smoothing only works if the underlying x-axis is a unit "grid" and then the window must be 1.
This should be a boolean flag where the name makes it clear what it is doing and the type of data it can be applied to.
e.g. something like
diffuse_to_unit_interval
?The text was updated successfully, but these errors were encountered: