I am currently using a custom model implemented with DensityDist. However, I am running into an issue at the end when it saves data to an arviz dataframe. What PyMC seems to be doing is re-calculating the loglikelihood of every single parameter set as is saves to the arviz dataframe, taking a sign…

To try and clarify the remarks made by Ricardo above. [image] mmurrow95: I’m using DEMetropolisZ where the logp is calculated for each sample anyway All samplers compute the logp but as far as I know, none of them computes the pointwise log likelihood (called logp_elemwiset internally by pym…

Outputting loglikelihood of each parameter set

Questions

ricardoV94 March 22, 2022, 6:30am 8

Why do you want to do that?

Topic		Replies	Views
PyMC outputs loglikelihood slowly using custom models Questions	0	371	November 18, 2021
How to save logp values during sampling? Questions	6	3225	July 28, 2020
Point-wise log-likelihood for black-box model in PyMC v4 v5	2	976	June 10, 2022
Saving prior values for each sample as deterministic RVs Questions	3	516	October 31, 2019
"log_likelihood" not found in InferenceData Questions	5	4369	June 21, 2023

Outputting loglikelihood of each parameter set

Related topics