Index

A

acceptance_fraction (ampy.inference.samplers.PTSampler property) acor (ampy.inference.samplers.PTSampler property) aliases (ampy.defaults.plotting.BandColorMap attribute) alpha (ampy.defaults.plotting.DensityDistributionStyle attribute) ampy.defaults.plotting module

ampy.inference.engine module ampy.inference.priors module ampy.inference.samplers module

B

BandColorMap (class in ampy.defaults.plotting) bbox_to_anchor (ampy.defaults.plotting.SpectralLegendStyle attribute)

best (ampy.defaults.plotting.DensityProfileDefaults attribute) burn_chain (ampy.inference.engine.InferenceEngine attribute)

C

capsize (ampy.defaults.plotting.ObservedIndexStyle attribute) chain (ampy.inference.samplers.PTSampler property) color (ampy.defaults.plotting.CornerPlotDefaults attribute) (ampy.defaults.plotting.DensityBestStyle attribute) (ampy.defaults.plotting.DensityDistributionStyle attribute) (ampy.defaults.plotting.ObservedIndexStyle attribute)

colors (ampy.defaults.plotting.BandColorMap attribute) (ampy.defaults.plotting.SpectralPlotDefaults attribute) CornerPlotDefaults (class in ampy.defaults.plotting)

D

default (ampy.defaults.plotting.BandColorMap attribute) DensityBestStyle (class in ampy.defaults.plotting) DensityDistributionStyle (class in ampy.defaults.plotting) DensityProfileDefaults (class in ampy.defaults.plotting) distribution (ampy.defaults.plotting.DensityProfileDefaults attribute)

draw() (ampy.inference.priors.GaussianPrior method) (ampy.inference.priors.MilkyWayRvPrior method) (ampy.inference.priors.SinePrior method) (ampy.inference.priors.UniformPrior method) draw_positions() (ampy.inference.samplers.EnsembleSampler method) (ampy.inference.samplers.PTSampler method)

E

edgecolor (ampy.defaults.plotting.SpectralLegendStyle attribute) EnsembleSampler (class in ampy.inference.samplers) evaluate() (ampy.inference.priors.GaussianPrior method) (ampy.inference.priors.MilkyWayRvPrior method) (ampy.inference.priors.SinePrior method) (ampy.inference.priors.UniformPrior method)

F

fancybox (ampy.defaults.plotting.SpectralLegendStyle attribute) figsize (ampy.defaults.plotting.SpectralLayout attribute) fill_contours (ampy.defaults.plotting.CornerPlotDefaults attribute) fmt (ampy.defaults.plotting.ObservedIndexStyle attribute)

frameon (ampy.defaults.plotting.SpectralLegendStyle attribute) from_dict() (ampy.inference.priors.GaussianPrior class method) (ampy.inference.priors.MilkyWayRvPrior class method) (ampy.inference.priors.UniformPrior class method)

G

GaussianPrior (class in ampy.inference.priors) get() (ampy.defaults.plotting.BandColorMap method) get_autocorr_time() (ampy.inference.samplers.PTSampler method) get_chain() (ampy.inference.samplers.PTSampler method)

get_last_sample() (ampy.inference.samplers.PTSampler method) get_log_prob() (ampy.inference.samplers.PTSampler method) get_pool_context() (in module ampy.inference.engine) get_value() (ampy.inference.samplers.PTSampler method)

H

height_ratios (ampy.defaults.plotting.SpectralLayout attribute)

I

InferenceEngine (class in ampy.inference.engine) initial_guess (ampy.inference.priors.UniformPrior attribute)

initial_sigma (ampy.inference.priors.UniformPrior attribute) iteration (ampy.inference.samplers.PTSampler property)

K

kwargs() (ampy.defaults.plotting.CornerPlotDefaults method) (ampy.defaults.plotting.DensityBestStyle method) (ampy.defaults.plotting.DensityDistributionStyle method) (ampy.defaults.plotting.ObservedIndexStyle method) (ampy.defaults.plotting.SpectralLayout method) (ampy.defaults.plotting.SpectralLegendStyle method)

L

label (ampy.defaults.plotting.DensityBestStyle attribute) label_kwargs (ampy.defaults.plotting.CornerPlotDefaults attribute) label_size (ampy.defaults.plotting.CornerPlotDefaults attribute) layout (ampy.defaults.plotting.SpectralPlotDefaults attribute) legend (ampy.defaults.plotting.SpectralPlotDefaults attribute) linestyle (ampy.defaults.plotting.DensityBestStyle attribute) (ampy.defaults.plotting.DensityDistributionStyle attribute) (ampy.defaults.plotting.ObservedIndexStyle attribute) linewidth (ampy.defaults.plotting.DensityBestStyle attribute) (ampy.defaults.plotting.DensityDistributionStyle attribute)

lnprobability (ampy.inference.samplers.PTSampler property) load() (ampy.inference.samplers.EnsembleSampler class method) loc (ampy.defaults.plotting.SpectralLegendStyle attribute) log_likelihood_model() (in module ampy.inference.engine) log_posterior_model() (in module ampy.inference.engine) log_prior_model() (in module ampy.inference.engine) lower (ampy.inference.priors.GaussianPrior property) (ampy.inference.priors.MilkyWayRvPrior property) (ampy.inference.priors.UniformPrior attribute)

M

mapping() (ampy.defaults.plotting.SpectralColors method) MilkyWayRvPrior (class in ampy.inference.priors) mode (ampy.defaults.plotting.SpectralLegendStyle attribute) modeling_engine (ampy.inference.engine.InferenceEngine attribute) module ampy.defaults.plotting ampy.inference.engine ampy.inference.priors ampy.inference.samplers

mu (ampy.inference.priors.GaussianPrior attribute)

N

name (ampy.inference.samplers.EnsembleSampler attribute) (ampy.inference.samplers.PTSampler attribute) ndim (ampy.inference.engine.InferenceEngine property) (ampy.inference.samplers.PTSampler property)

ntemps (ampy.inference.samplers.PTSampler property) nu_a (ampy.defaults.plotting.SpectralColors attribute) nu_c (ampy.defaults.plotting.SpectralColors attribute) nu_m (ampy.defaults.plotting.SpectralColors attribute) nwalkers (ampy.inference.samplers.PTSampler property)

O

observed (ampy.defaults.plotting.SpectralPlotDefaults attribute)

ObservedIndexStyle (class in ampy.defaults.plotting)

P

param_view (ampy.inference.engine.InferenceEngine attribute)

plot_datapoints (ampy.defaults.plotting.CornerPlotDefaults attribute) PTSampler (class in ampy.inference.samplers)

Q

quantiles (ampy.defaults.plotting.CornerPlotDefaults attribute)

R

reset() (ampy.inference.samplers.PTSampler method)

run() (ampy.inference.engine.InferenceEngine method) run_mcmc() (ampy.inference.samplers.PTSampler method)

S

sampler (ampy.inference.engine.InferenceEngine attribute) (ampy.inference.samplers.PTSampler property) save() (ampy.inference.samplers.EnsembleSampler method) (ampy.inference.samplers.PTSampler method) serialize() (ampy.inference.priors.GaussianPrior method) (ampy.inference.priors.MilkyWayRvPrior method) (ampy.inference.priors.SinePrior method) (ampy.inference.priors.UniformPrior method) set_sampler() (ampy.inference.engine.InferenceEngine method) set_start_positions() (ampy.inference.engine.InferenceEngine method) sharex (ampy.defaults.plotting.SpectralLayout attribute)

show_titles (ampy.defaults.plotting.CornerPlotDefaults attribute) sigma (ampy.inference.priors.GaussianPrior attribute) SinePrior (class in ampy.inference.priors) smooth (ampy.defaults.plotting.CornerPlotDefaults attribute) smooth1d (ampy.defaults.plotting.CornerPlotDefaults attribute) SpectralColors (class in ampy.defaults.plotting) SpectralLayout (class in ampy.defaults.plotting) SpectralLegendStyle (class in ampy.defaults.plotting) SpectralPlotDefaults (class in ampy.defaults.plotting) summary() (ampy.inference.engine.InferenceEngine method) swap_acceptance_fraction (ampy.inference.samplers.PTSampler property)

T

title_kwargs (ampy.defaults.plotting.CornerPlotDefaults attribute) type (ampy.inference.priors.GaussianPrior attribute) (ampy.inference.priors.SinePrior attribute) (ampy.inference.priors.UniformPrior attribute)

U

UniformPrior (class in ampy.inference.priors) upper (ampy.inference.priors.GaussianPrior property) (ampy.inference.priors.MilkyWayRvPrior property) (ampy.inference.priors.UniformPrior attribute)

Z

zorder (ampy.defaults.plotting.ObservedIndexStyle attribute)