Bring some of the fitting script argument defaults into agreement with the defaults in the actual core python fitting functions.
Mostly needed to help avoid some confusion when comparing runs, but in reality you should be always looking at the sampler output "metadata" to determine which arguments were used anyways.
This sets a few defaults that are maybe not the most efficient (i.e. dlogz) but are required to be in line with the core defaults, which are implicitly taken from dynesty. When in doubt, never rely on the defaults.
Bring some of the fitting script argument defaults into agreement with the defaults in the actual core python fitting functions. Mostly needed to help avoid some confusion when comparing runs, but in reality you should be always looking at the sampler output "metadata" to determine which arguments were used anyways.
This sets a few defaults that are maybe not the most efficient (i.e.
dlogz) but are required to be in line with the core defaults, which are implicitly taken fromdynesty. When in doubt, never rely on the defaults.