Primary
xspec.Chain() ⚬|docu|1st|20260525110341-00-⌔
Chain — PyXspec 2.1.5 documentation#xspec.Chain
Link to originalclass
xspec.Chain(fileName, fileType=None, burn=None, runLength=None, proposal=None, rand=None, rescale=None, temperature=None, algorithm=None, walkers=None)Monte Carlo Markov Chain class.
Methods
- init
- run
- show
Attributes ((﹡) = get-only)
algorithm
burn
fileName﹡
fileType﹡
proposal
rand
rescale
runLength
temperature
totalLength﹡
walkers
The following attribute settings will apply to the NEXT run for this chain: algorithm, runLength, proposal, rescale, temperature, burn, rand, walkers.
The algorithm, burn, rand, and walkers settings are irrelevant if run is performing an appending operation.
Secondary
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