nessai
v0.7.1
Contents:
Installation
Running the sampler
Sampler configuration
Reparameterisations
Normalising flows configuration
Parallelisation with nessai
Gravitational-wave inference
Further details
API reference
Examples:
Simple Gaussian example
Bilby example
nessai
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Index
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Index
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B
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C
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D
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E
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F
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G
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H
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I
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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X
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Y
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Z
A
add_default_reparameterisations() (nessai.gw.proposal.GWFlowProposal method)
(nessai.proposal.flowproposal.FlowProposal method)
add_extra_parameters_to_live_points() (in module nessai.livepoint)
add_inversion() (nessai.gw.legacy.LegacyGWFlowProposal method)
add_log_inversion() (nessai.gw.legacy.LegacyGWFlowProposal method)
add_reparameterisation() (nessai.reparameterisations.CombinedReparameterisation method)
add_reparameterisations() (nessai.reparameterisations.CombinedReparameterisation method)
aliases (nessai.gw.proposal.GWFlowProposal attribute)
allow_vectorised (nessai.model.Model attribute)
AnalyticProposal (class in nessai.proposal.analytic)
Angle (class in nessai.reparameterisations)
angle (nessai.reparameterisations.Angle property)
angle_to_cartesian() (in module nessai.gw.legacy)
AnglePair (class in nessai.reparameterisations)
angles (nessai.reparameterisations.AnglePair property)
assert_structured_arrays_equal() (in module nessai.utils.testing)
augmented_prior() (nessai.proposal.augmented.AugmentedFlowProposal method)
AugmentedFlowProposal (class in nessai.proposal.augmented)
AugmentedGWFlowProposal (class in nessai.gw.proposal)
auto_bins() (in module nessai.utils.hist)
azimuth_zenith_to_cartesian() (in module nessai.gw.legacy)
B
backward_pass() (nessai.proposal.augmented.AugmentedFlowProposal method)
(nessai.proposal.flowproposal.FlowProposal method)
BASE_COLOUR (in module nessai.config)
base_distribution_log_prob() (nessai.flows.base.BaseFlow method)
(nessai.flows.base.NFlow method)
BaseFlow (class in nessai.flows.base)
BaseNestedSampler (class in nessai.samplers.base)
batch_evaluate_log_likelihood() (nessai.model.Model method)
bonferroni_correction() (in module nessai.utils.indices)
bounds (nessai.model.Model property)
C
cartesian_to_angle() (in module nessai.gw.legacy)
cartesian_to_azimuth_zenith() (in module nessai.gw.legacy)
cartesian_to_ra_dec() (in module nessai.gw.legacy)
cartesian_to_zero_one() (in module nessai.gw.legacy)
check_batch_size() (nessai.flowmodel.base.FlowModel static method)
check_flow_model_reset() (nessai.samplers.nestedsampler.NestedSampler method)
check_insertion_indices() (nessai.samplers.nestedsampler.NestedSampler method)
check_prior_bounds() (nessai.proposal.flowproposal.FlowProposal method)
check_proposal_switch() (nessai.samplers.nestedsampler.NestedSampler method)
check_resume() (nessai.samplers.nestedsampler.NestedSampler method)
check_state() (nessai.gw.legacy.LegacyGWFlowProposal method)
(nessai.proposal.flowproposal.FlowProposal method)
(nessai.samplers.nestedsampler.NestedSampler method)
check_training() (nessai.samplers.nestedsampler.NestedSampler method)
checkpoint() (nessai.samplers.base.BaseNestedSampler method)
close_pool() (nessai.model.Model method)
(nessai.samplers.base.BaseNestedSampler method)
CombinedReparameterisation (class in nessai.reparameterisations)
ComovingDistanceConverter (class in nessai.gw.utils)
compute_acceptance() (nessai.proposal.flowproposal.FlowProposal method)
compute_indices_ks_test() (in module nessai.utils.indices)
compute_minimum_distances() (in module nessai.utils.distance)
compute_radius() (in module nessai.utils.sampling)
compute_weights() (in module nessai.posterior)
(nessai.proposal.flowproposal.FlowProposal method)
(nessai.proposal.rejection.RejectionProposal method)
configure_angles() (nessai.gw.legacy.LegacyGWFlowProposal method)
configure_constant_volume() (nessai.proposal.flowproposal.FlowProposal method)
configure_edge_detection() (in module nessai.utils.rescaling)
configure_fixed_radius() (nessai.proposal.flowproposal.FlowProposal method)
configure_flow_proposal() (nessai.samplers.nestedsampler.NestedSampler method)
configure_flow_reset() (nessai.samplers.nestedsampler.NestedSampler method)
configure_latent_prior() (nessai.proposal.flowproposal.FlowProposal method)
configure_max_iteration() (nessai.samplers.nestedsampler.NestedSampler method)
configure_min_max_radius() (nessai.proposal.flowproposal.FlowProposal method)
configure_model() (in module nessai.flows.utils)
configure_output() (nessai.samplers.base.BaseNestedSampler method)
(nessai.samplers.nestedsampler.NestedSampler method)
configure_periodic_logging() (nessai.samplers.base.BaseNestedSampler method)
configure_plotting() (nessai.proposal.flowproposal.FlowProposal method)
configure_pool() (nessai.model.Model method)
configure_population() (nessai.proposal.flowproposal.FlowProposal method)
configure_post_rescaling() (nessai.reparameterisations.RescaleToBounds method)
configure_pre_rescaling() (nessai.reparameterisations.RescaleToBounds method)
configure_random_seed() (nessai.samplers.base.BaseNestedSampler method)
configure_reparameterisations() (nessai.proposal.flowproposal.FlowProposal method)
configure_sky() (nessai.gw.legacy.LegacyGWFlowProposal method)
configure_threads() (in module nessai.utils.threading)
configure_time() (nessai.gw.legacy.LegacyGWFlowProposal method)
configure_training_frequency() (nessai.samplers.nestedsampler.NestedSampler method)
configure_uninformed_proposal() (nessai.samplers.nestedsampler.NestedSampler method)
consume_sample() (nessai.samplers.nestedsampler.NestedSampler method)
convert_to_dc3() (nessai.gw.legacy.LegacyGWFlowProposal method)
convert_to_dl() (nessai.gw.legacy.LegacyGWFlowProposal method)
convert_to_samples() (nessai.proposal.flowproposal.FlowProposal method)
corner_plot() (in module nessai.plot)
create_linear_transform() (in module nessai.flows.utils)
create_pre_transform() (in module nessai.flows.utils)
D
dataframe_to_live_points() (in module nessai.livepoint)
default() (nessai.utils.io.NessaiJSONEncoder method)
detect_edge() (in module nessai.utils.rescaling)
determine_rescaled_bounds() (in module nessai.gw.legacy)
(in module nessai.utils.rescaling)
dict_to_live_points() (in module nessai.livepoint)
dims (nessai.model.Model property)
(nessai.proposal.flowproposal.FlowProposal property)
DISABLE_STYLE (in module nessai.config)
DistanceConverter (class in nessai.gw.utils)
DistanceReparameterisation (class in nessai.gw.reparameterisations)
draw() (nessai.proposal.analytic.AnalyticProposal method)
(nessai.proposal.base.Proposal method)
(nessai.proposal.flowproposal.FlowProposal method)
draw_gaussian() (in module nessai.utils.sampling)
draw_nsphere() (in module nessai.utils.sampling)
draw_posterior_samples() (in module nessai.posterior)
draw_proposal() (nessai.proposal.rejection.RejectionProposal method)
draw_surface_nsphere() (in module nessai.utils.sampling)
draw_truncated_gaussian() (in module nessai.utils.sampling)
draw_uniform() (in module nessai.utils.sampling)
E
effective_sample_size() (in module nessai.utils.stats)
empty_structured_array() (in module nessai.livepoint)
end_iteration() (nessai.flowmodel.base.FlowModel method)
(nessai.flows.base.BaseFlow method)
(nessai.flows.base.NFlow method)
evaluate_likelihoods() (nessai.proposal.base.Proposal method)
evaluate_log_likelihood() (nessai.model.Model method)
F
finalise() (nessai.flowmodel.base.FlowModel method)
(nessai.flows.base.BaseFlow method)
(nessai.flows.base.NFlow method)
(nessai.samplers.nestedsampler.NestedSampler method)
flow_config (nessai.proposal.flowproposal.FlowProposal property)
FlowModel (class in nessai.flowmodel.base)
FlowProposal (class in nessai.proposal.flowproposal)
,
[1]
FlowSampler (class in nessai.flowsampler)
forward() (nessai.flows.base.BaseFlow method)
(nessai.flows.base.NFlow method)
(nessai.flows.nets.MLP method)
forward_and_log_prob() (nessai.flowmodel.base.FlowModel method)
(nessai.flows.base.BaseFlow method)
(nessai.flows.base.NFlow method)
forward_pass() (nessai.proposal.flowproposal.FlowProposal method)
freeze_transform() (nessai.flows.base.BaseFlow method)
(nessai.flows.base.NFlow method)
from_uniform_parameter() (nessai.gw.utils.ComovingDistanceConverter method)
(nessai.gw.utils.DistanceConverter method)
(nessai.gw.utils.NullDistanceConverter method)
(nessai.gw.utils.PowerLawConverter method)
from_unit_hypercube() (nessai.model.Model method)
G
get_all_kwargs() (in module nessai.utils.bilbyutils)
get_alt_distribution() (nessai.proposal.flowproposal.FlowProposal method)
get_base_distribution() (in module nessai.flows.utils)
get_distance_converter() (in module nessai.gw.utils)
get_dtype() (in module nessai.livepoint)
get_gw_reparameterisation() (in module nessai.gw.reparameterisations)
get_multivariate_normal() (in module nessai.utils.distributions)
get_n_neurons() (in module nessai.flows.utils)
get_n_pool() (in module nessai.utils.multiprocessing)
get_optimiser() (nessai.flowmodel.base.FlowModel method)
get_reparameterisation() (in module nessai.reparameterisations)
(nessai.gw.proposal.GWFlowProposal method)
(nessai.proposal.flowproposal.FlowProposal method)
get_result_dictionary() (nessai.samplers.base.BaseNestedSampler method)
(nessai.samplers.nestedsampler.NestedSampler method)
get_run_kwargs_list() (in module nessai.utils.bilbyutils)
get_subset_arrays() (in module nessai.utils.structures)
get_uniform_distribution() (in module nessai.utils.distributions)
GWFlowProposal (class in nessai.gw.proposal)
H
has_conversion (nessai.gw.utils.DistanceConverter attribute)
has_jacobian (nessai.gw.utils.DistanceConverter attribute)
has_prime_prior (nessai.reparameterisations.CombinedReparameterisation property)
HIGHLIGHT_COLOUR (in module nessai.config)
I
in_bounds() (nessai.model.Model method)
initialise() (nessai.flowmodel.base.FlowModel method)
(nessai.proposal.base.Proposal method)
(nessai.proposal.flowproposal.FlowProposal method)
(nessai.samplers.nestedsampler.NestedSampler method)
initialise_pool_variables() (in module nessai.utils.multiprocessing)
initialised (nessai.proposal.base.Proposal property)
insert_live_point() (nessai.samplers.nestedsampler.NestedSampler method)
inverse() (nessai.flows.base.BaseFlow method)
(nessai.flows.base.NFlow method)
inverse_reparameterise() (nessai.reparameterisations.Angle method)
(nessai.reparameterisations.AnglePair method)
(nessai.reparameterisations.CombinedReparameterisation method)
(nessai.reparameterisations.NullReparameterisation method)
(nessai.reparameterisations.Reparameterisation method)
(nessai.reparameterisations.Rescale method)
(nessai.reparameterisations.RescaleToBounds method)
inverse_rescale() (nessai.gw.legacy.LegacyGWFlowProposal method)
(nessai.proposal.flowproposal.FlowProposal method)
inverse_rescale_minus_one_to_one() (in module nessai.utils.rescaling)
inverse_rescale_zero_to_one() (in module nessai.utils.rescaling)
inversion_parameters (nessai.gw.legacy.LegacyGWFlowProposal property)
is_jsonable() (in module nessai.utils.io)
isfinite_struct() (in module nessai.utils.structures)
L
last_updated (nessai.samplers.nestedsampler.NestedSampler property)
LegacyGWFlowProposal (class in nessai.gw.legacy)
likelihood_calls (nessai.samplers.base.BaseNestedSampler attribute)
likelihood_evaluation_time (nessai.model.Model attribute)
(nessai.samplers.base.BaseNestedSampler property)
likelihood_evaluations (nessai.model.Model attribute)
LINE_COLOURS (in module nessai.config)
LINE_STYLES (in module nessai.config)
live_points_to_array() (in module nessai.livepoint)
live_points_to_dict() (in module nessai.livepoint)
load_weights() (nessai.flowmodel.base.FlowModel method)
log_2d_cartesian_prior() (in module nessai.gw.legacy)
(in module nessai.priors)
log_2d_cartesian_prior_sine() (in module nessai.gw.legacy)
(in module nessai.priors)
log_3d_cartesian_prior() (in module nessai.gw.legacy)
(in module nessai.priors)
log_evidence (nessai.flowsampler.FlowSampler property)
log_evidence_error (nessai.flowsampler.FlowSampler property)
log_integrate_log_trap() (in module nessai.evidence)
log_likelihood() (nessai.model.Model method)
log_likelihood_wrapper() (in module nessai.utils.multiprocessing)
log_prior() (nessai.gw.legacy.LegacyGWFlowProposal method)
(nessai.model.Model method)
(nessai.proposal.augmented.AugmentedFlowProposal method)
(nessai.proposal.flowproposal.FlowProposal method)
(nessai.reparameterisations.Angle method)
(nessai.reparameterisations.AnglePair method)
(nessai.reparameterisations.CombinedReparameterisation method)
log_prob() (nessai.flowmodel.base.FlowModel method)
(nessai.flows.base.BaseFlow method)
(nessai.flows.base.NFlow method)
log_proposal() (nessai.proposal.rejection.RejectionProposal method)
log_spin_prior() (in module nessai.gw.legacy)
log_spin_prior_uniform() (in module nessai.gw.legacy)
log_state() (nessai.samplers.nestedsampler.NestedSampler method)
log_uniform_prior() (in module nessai.gw.legacy)
(in module nessai.priors)
logistic_function() (in module nessai.utils.rescaling)
logit() (in module nessai.utils.rescaling)
logsubexp() (in module nessai.evidence)
lower_bounds (nessai.model.Model property)
LULinear (class in nessai.flows.transforms)
M
MaskedAutoregressiveFlow (class in nessai.flows.maf)
mean_acceptance (nessai.samplers.nestedsampler.NestedSampler property)
MLP (class in nessai.flows.nets)
Model (class in nessai.model)
module
nessai
,
[1]
nessai.config
nessai.evidence
nessai.flowmodel
nessai.flowmodel.base
nessai.flowmodel.config
nessai.flowmodel.utils
nessai.flows
nessai.flows.base
nessai.flows.distributions
nessai.flows.maf
nessai.flows.nets
nessai.flows.nsf
nessai.flows.realnvp
nessai.flows.transforms
nessai.flows.utils
nessai.flowsampler
nessai.gw
nessai.gw.legacy
nessai.gw.proposal
nessai.gw.reparameterisations
nessai.gw.utils
nessai.livepoint
nessai.model
nessai.nestedsampler
nessai.plot
nessai.posterior
nessai.priors
nessai.proposal
nessai.proposal.analytic
nessai.proposal.augmented
nessai.proposal.base
nessai.proposal.flowproposal
nessai.proposal.rejection
nessai.reparameterisations
nessai.samplers
nessai.samplers.base
nessai.samplers.nestedsampler
nessai.utils
nessai.utils.bilbyutils
nessai.utils.distance
nessai.utils.distributions
nessai.utils.hist
nessai.utils.indices
nessai.utils.io
nessai.utils.logging
nessai.utils.multiprocessing
nessai.utils.rescaling
nessai.utils.sampling
nessai.utils.stats
nessai.utils.structures
nessai.utils.testing
nessai.utils.threading
nessai.utils.torchutils
move_to() (nessai.flowmodel.base.FlowModel method)
MultivariateNormal (class in nessai.flows.distributions)
N
name (nessai.reparameterisations.Reparameterisation property)
names (nessai.model.Model property)
nessai
module
,
[1]
nessai.config
module
nessai.evidence
module
nessai.flowmodel
module
nessai.flowmodel.base
module
nessai.flowmodel.config
module
nessai.flowmodel.utils
module
nessai.flows
module
nessai.flows.base
module
nessai.flows.distributions
module
nessai.flows.maf
module
nessai.flows.nets
module
nessai.flows.nsf
module
nessai.flows.realnvp
module
nessai.flows.transforms
module
nessai.flows.utils
module
nessai.flowsampler
module
nessai.gw
module
nessai.gw.legacy
module
nessai.gw.proposal
module
nessai.gw.reparameterisations
module
nessai.gw.utils
module
nessai.livepoint
module
nessai.model
module
nessai.nestedsampler
module
nessai.plot
module
nessai.posterior
module
nessai.priors
module
nessai.proposal
module
nessai.proposal.analytic
module
nessai.proposal.augmented
module
nessai.proposal.base
module
nessai.proposal.flowproposal
module
nessai.proposal.rejection
module
nessai.reparameterisations
module
nessai.samplers
module
nessai.samplers.base
module
nessai.samplers.nestedsampler
module
nessai.utils
module
nessai.utils.bilbyutils
module
nessai.utils.distance
module
nessai.utils.distributions
module
nessai.utils.hist
module
nessai.utils.indices
module
nessai.utils.io
module
nessai.utils.logging
module
nessai.utils.multiprocessing
module
nessai.utils.rescaling
module
nessai.utils.sampling
module
nessai.utils.stats
module
nessai.utils.structures
module
nessai.utils.testing
module
nessai.utils.threading
module
nessai.utils.torchutils
module
nessai_style() (in module nessai.plot)
NessaiJSONEncoder (class in nessai.utils.io)
nested_sampling_loop() (nessai.samplers.nestedsampler.NestedSampler method)
NestedSampler (class in nessai.nestedsampler)
(class in nessai.samplers.nestedsampler)
NeuralSplineFlow (class in nessai.flows.nsf)
new_point() (nessai.model.Model method)
new_point_log_prob() (nessai.model.Model method)
NFlow (class in nessai.flows.base)
NullDistanceConverter (class in nessai.gw.utils)
NullReparameterisation (class in nessai.reparameterisations)
numpy_array_to_live_points() (in module nessai.livepoint)
O
OneDimensionalModelError
P
parameter_in_bounds() (nessai.model.Model method)
parameters_to_live_point() (in module nessai.livepoint)
periodically_log_state() (nessai.samplers.base.BaseNestedSampler method)
plot_1d_comparison() (in module nessai.plot)
plot_histogram() (in module nessai.plot)
plot_indices() (in module nessai.plot)
plot_insertion_indices() (nessai.samplers.nestedsampler.NestedSampler method)
plot_live_points() (in module nessai.plot)
plot_loss() (in module nessai.plot)
plot_pool() (nessai.proposal.flowproposal.FlowProposal method)
plot_state() (nessai.samplers.nestedsampler.NestedSampler method)
plot_trace() (in module nessai.plot)
(nessai.samplers.nestedsampler.NestedSampler method)
pool (nessai.model.Model attribute)
poolsize (nessai.proposal.analytic.AnalyticProposal property)
(nessai.proposal.flowproposal.FlowProposal property)
populate() (nessai.proposal.analytic.AnalyticProposal method)
(nessai.proposal.flowproposal.FlowProposal method)
(nessai.proposal.rejection.RejectionProposal method)
populate_live_points() (nessai.samplers.nestedsampler.NestedSampler method)
population_dtype (nessai.proposal.flowproposal.FlowProposal property)
post_rescaling() (nessai.reparameterisations.RescaleToBounds method)
post_rescaling_inv() (nessai.reparameterisations.RescaleToBounds method)
PowerLawConverter (class in nessai.gw.utils)
pre_rescaling() (nessai.reparameterisations.RescaleToBounds method)
pre_rescaling_inv() (nessai.reparameterisations.RescaleToBounds method)
prep_data() (nessai.flowmodel.base.FlowModel method)
Proposal (class in nessai.proposal.base)
R
ra_dec_to_cartesian() (in module nessai.gw.legacy)
radial (nessai.reparameterisations.Angle property)
(nessai.reparameterisations.AnglePair property)
radius (nessai.reparameterisations.Angle property)
radius() (nessai.proposal.flowproposal.FlowProposal method)
RealNVP (class in nessai.flows.realnvp)
rejection_sampling() (nessai.proposal.flowproposal.FlowProposal method)
RejectionProposal (class in nessai.proposal.rejection)
reload_weights() (nessai.flowmodel.base.FlowModel method)
Reparameterisation (class in nessai.reparameterisations)
reparameterisations (nessai.model.Model attribute)
reparameterise() (nessai.reparameterisations.Angle method)
(nessai.reparameterisations.AnglePair method)
(nessai.reparameterisations.CombinedReparameterisation method)
(nessai.reparameterisations.NullReparameterisation method)
(nessai.reparameterisations.Reparameterisation method)
(nessai.reparameterisations.Rescale method)
(nessai.reparameterisations.RescaleToBounds method)
replace_in_list() (in module nessai.utils.structures)
requires_prime_prior (nessai.reparameterisations.CombinedReparameterisation property)
Rescale (class in nessai.reparameterisations)
rescale() (nessai.gw.legacy.LegacyGWFlowProposal method)
(nessai.proposal.flowproposal.FlowProposal method)
rescale_minus_one_to_one() (in module nessai.utils.rescaling)
rescale_zero_to_one() (in module nessai.utils.rescaling)
rescaled_dims (nessai.proposal.flowproposal.FlowProposal property)
RescaleToBounds (class in nessai.reparameterisations)
reset() (nessai.proposal.flowproposal.FlowProposal method)
reset_extra_live_points_parameters() (in module nessai.livepoint)
reset_inversion() (nessai.reparameterisations.CombinedReparameterisation method)
(nessai.reparameterisations.RescaleToBounds method)
reset_model() (nessai.flowmodel.base.FlowModel method)
reset_model_weights() (nessai.proposal.flowproposal.FlowProposal method)
reset_permutations() (in module nessai.flows.utils)
reset_weights() (in module nessai.flows.utils)
resume() (nessai.proposal.base.Proposal method)
(nessai.proposal.flowproposal.FlowProposal method)
(nessai.samplers.base.BaseNestedSampler class method)
(nessai.samplers.nestedsampler.NestedSampler class method)
rolling_mean() (in module nessai.utils.stats)
run() (nessai.flowsampler.FlowSampler method)
S
safe_exit() (nessai.flowsampler.FlowSampler method)
safe_file_dump() (in module nessai.utils.io)
sample() (nessai.flowmodel.base.FlowModel method)
(nessai.flows.base.BaseFlow method)
(nessai.flows.base.NFlow method)
sample_and_log_prob() (nessai.flowmodel.base.FlowModel method)
(nessai.flows.base.BaseFlow method)
(nessai.flows.base.NFlow method)
sample_parameter() (nessai.model.Model method)
save_input() (nessai.flowmodel.base.FlowModel method)
save_kwargs() (nessai.flowsampler.FlowSampler method)
save_live_points() (in module nessai.utils.io)
save_results() (nessai.flowsampler.FlowSampler method)
save_weights() (nessai.flowmodel.base.FlowModel method)
set_boundary_inversion() (nessai.proposal.flowproposal.FlowProposal method)
set_bounds() (nessai.reparameterisations.RescaleToBounds method)
set_reparameterisations() (nessai.gw.legacy.LegacyGWFlowProposal method)
set_rescaling() (nessai.gw.legacy.LegacyGWFlowProposal method)
(nessai.proposal.augmented.AugmentedFlowProposal method)
(nessai.proposal.flowproposal.FlowProposal method)
set_torch_default_dtype() (in module nessai.utils.torchutils)
setup_angle() (nessai.gw.legacy.LegacyGWFlowProposal method)
setup_from_input_dict() (nessai.flowmodel.base.FlowModel method)
setup_logger() (in module nessai.utils.logging)
setup_uniform_distance_parameter() (nessai.gw.legacy.LegacyGWFlowProposal method)
sigmoid() (in module nessai.utils.rescaling)
silu() (in module nessai.flows.utils)
SNS_STYLE (in module nessai.config)
T
terminate_run() (nessai.flowsampler.FlowSampler method)
test_draw() (nessai.proposal.base.Proposal method)
(nessai.proposal.flowproposal.FlowProposal method)
to() (nessai.flows.base.BaseFlow method)
to_uniform_parameter() (nessai.gw.utils.ComovingDistanceConverter method)
(nessai.gw.utils.DistanceConverter method)
(nessai.gw.utils.NullDistanceConverter method)
(nessai.gw.utils.PowerLawConverter method)
to_unit_hypercube() (nessai.model.Model method)
ToCartesian (class in nessai.reparameterisations)
total_likelihood_evaluations (nessai.samplers.base.BaseNestedSampler property)
train() (nessai.flowmodel.base.FlowModel method)
(nessai.proposal.base.Proposal method)
(nessai.proposal.flowproposal.FlowProposal method)
train_proposal() (nessai.samplers.nestedsampler.NestedSampler method)
U
unfreeze_transform() (nessai.flows.base.BaseFlow method)
(nessai.flows.base.NFlow method)
unstructured_view() (in module nessai.livepoint)
(nessai.model.Model method)
update_bounds() (nessai.reparameterisations.CombinedReparameterisation method)
(nessai.reparameterisations.RescaleToBounds method)
update_config() (in module nessai.flowmodel.utils)
update_flow_config() (nessai.proposal.augmented.AugmentedFlowProposal method)
(nessai.proposal.flowproposal.FlowProposal method)
update_mask() (nessai.flowmodel.base.FlowModel method)
update_poolsize_scale() (nessai.proposal.flowproposal.FlowProposal method)
update_prime_prior_bounds() (nessai.reparameterisations.RescaleToBounds method)
update_state() (nessai.samplers.nestedsampler.NestedSampler method)
upper_bounds (nessai.model.Model property)
use_default_reparameterisations (nessai.gw.proposal.GWFlowProposal attribute)
(nessai.proposal.flowproposal.FlowProposal attribute)
V
vectorised_likelihood (nessai.model.Model property)
verify_model() (nessai.model.Model method)
verify_rescaling() (nessai.proposal.flowproposal.FlowProposal method)
X
x (nessai.reparameterisations.Angle property)
(nessai.reparameterisations.AnglePair property)
x_dtype (nessai.proposal.flowproposal.FlowProposal property)
x_prime_dtype (nessai.proposal.flowproposal.FlowProposal property)
x_prime_log_prior() (nessai.gw.legacy.LegacyGWFlowProposal method)
(nessai.proposal.augmented.AugmentedFlowProposal method)
(nessai.proposal.flowproposal.FlowProposal method)
(nessai.reparameterisations.Angle method)
(nessai.reparameterisations.AnglePair method)
(nessai.reparameterisations.CombinedReparameterisation method)
(nessai.reparameterisations.RescaleToBounds method)
Y
y (nessai.reparameterisations.Angle property)
(nessai.reparameterisations.AnglePair property)
yield_sample() (nessai.samplers.nestedsampler.NestedSampler method)
Z
z (nessai.reparameterisations.AnglePair property)
zero_one_to_cartesian() (in module nessai.gw.legacy)
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