bilby.core.sampler.ptemcee.ConvergenceInputs

class bilby.core.sampler.ptemcee.ConvergenceInputs(autocorr_c, autocorr_tol, autocorr_tau, gradient_tau, gradient_mean_log_posterior, Q_tol, safety, burn_in_nact, burn_in_fixed_discard, mean_logl_frac, thin_by_nact, nsamples, ignore_keys_for_tau, min_tau, niterations_per_check)

Bases: tuple

__init__(*args, **kwargs)

__call__(*args, **kwargs): Call self as a function.

Methods

`__init__`(args, *kwargs)
`count`(value, /)	Return number of occurrences of value.
`index`(value[, start, stop])	Return first index of value.

Attributes

`Q_tol`	Alias for field number 5
`autocorr_c`	Alias for field number 0
`autocorr_tau`	Alias for field number 2
`autocorr_tol`	Alias for field number 1
`burn_in_fixed_discard`	Alias for field number 8
`burn_in_nact`	Alias for field number 7
`gradient_mean_log_posterior`	Alias for field number 4
`gradient_tau`	Alias for field number 3
`ignore_keys_for_tau`	Alias for field number 12
`mean_logl_frac`	Alias for field number 9
`min_tau`	Alias for field number 13
`niterations_per_check`	Alias for field number 14
`nsamples`	Alias for field number 11
`safety`	Alias for field number 6
`thin_by_nact`	Alias for field number 10

Q_tol: Alias for field number 5

autocorr_c: Alias for field number 0

autocorr_tau: Alias for field number 2

autocorr_tol: Alias for field number 1

burn_in_fixed_discard: Alias for field number 8

burn_in_nact: Alias for field number 7

count(value, /): Return number of occurrences of value.

gradient_mean_log_posterior: Alias for field number 4

gradient_tau: Alias for field number 3

ignore_keys_for_tau: Alias for field number 12

index(value, start=0, stop=sys.maxsize, /)

Return first index of value.

Raises ValueError if the value is not present.

mean_logl_frac: Alias for field number 9

min_tau: Alias for field number 13

niterations_per_check: Alias for field number 14

nsamples: Alias for field number 11

safety: Alias for field number 6

thin_by_nact: Alias for field number 10