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Modifier pruning currently removes a modifier completely from a model. It would be convenient to be able to remove modifier effects per sample or channel via the pruning API. This can be useful for example when a systematic has very different effects across phase space or between samples, and can reduce the amount of interpolations/extrapolations that need to be calculated.
Pruning is useful to speed up fits without significant impact on the results (if done correctly). See these slides (ATLAS internal) for a possible approach (@kratsg).
Is your feature request related to a problem? Please describe.
pruning currently is all-or-nothing, for more customization an external implementation is needed
Describe the solution you'd like
per-sample and per-channel modifier pruning
Describe alternatives you've considered
external implementation
Relevant Issues and Pull Requests
nothing immediately relevant, but some related issues:
Description
Modifier pruning currently removes a modifier completely from a model. It would be convenient to be able to remove modifier effects per sample or channel via the pruning API. This can be useful for example when a systematic has very different effects across phase space or between samples, and can reduce the amount of interpolations/extrapolations that need to be calculated.
Pruning is useful to speed up fits without significant impact on the results (if done correctly). See these slides (ATLAS internal) for a possible approach (@kratsg).
Is your feature request related to a problem? Please describe.
pruning currently is all-or-nothing, for more customization an external implementation is needed
Describe the solution you'd like
per-sample and per-channel modifier pruning
Describe alternatives you've considered
external implementation
Relevant Issues and Pull Requests
nothing immediately relevant, but some related issues:
Additional context
none
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