model_log_likelihood

model_log_likelihood(model, params=None)

Evaluate a model’s log-likelihood, decomposed into its data and prior halves.

Parameters

Name	Type	Description	Default
model	Model	The model to evaluate.	required
params	array_like	Parameter values; the model’s own current values are used when omitted.	None

Returns

Name	Type	Description
	dict	log_likelihood, data_log_likelihood, prior_log_likelihood, and parameters (the vector the model actually evaluated, which a mixture model rewrites in place to normalize its weights).