Description
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an analyser making use of
pisa/pisa/analysis/analysis.py
Line 963 in dacc631
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depending on nature of analysis, this can give rise to huge memory footprint, and, if no manual purging is done before storing, may take up unnecessary disk space
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unfortunately, there is little documentation explaining the design choices behind the
HypoFitResult
class and its integration into the fitting functions (e.g., it's not obvious to me that the deserialisation mechanism should require all attributes in_state_attrs
to be present) -
setting
blindness > 0
suppresses storingfit_history
, but would have other unintended side effects for an analyser only interested in reducing analysis resource usage -
introduce a parameter to the call to
fit_recursively
which will force the fit to omit the most detailed information?