autolens.potential_correction.IterDpsiSrcInvInterferometerAnalysis#

class IterDpsiSrcInvInterferometerAnalysis[source]#

Bases: Analysis

Samples the joint source+dpsi pixelization hyper-parameters of the visibility-space iterative LM solver, with its Laplace evidence as the likelihood.

Methods

`compute_latent_samples`	Compute latent-variable samples for every posterior sample.
`compute_latent_variables`	Override to compute latent variables from the instance.
`fit_for_visualization`	Build the fit used by the visualizer.
`log_likelihood_function`
`make_result`	Returns the Result of the non-linear search after it is completed.
`modify_after_fit`	Overwrite this method to modify the attributes of the Analysis class before the non-linear search begins.
`modify_before_fit`	Overwrite this method to modify the attributes of the Analysis class before the non-linear search begins.
`modify_model`
`perform_quick_update`
`print_vram_use`	Print JAX VRAM use for a given batch size.
`save_attributes`
`save_results`
`save_results_combined`
`shared_state_from`	Optionally compute a per-evaluation object that is shared across the factors of a FactorGraphModel.
`with_model`	Associate an explicit model with this analysis.

Attributes

`LATENT_BATCH_MODE`
`LATENT_KEYS`
`supports_background_update`	Whether this analysis supports background quick updates.
`supports_jax_visualization`	Whether the visualizer can work directly with JAX arrays.

log_likelihood_function(instance)[source]#