Other Settings¶
Introduction¶
Here we can configure some specific settings for the fitting
Details¶
Number of seeds
Set up the number of random seeds.
Fitting methods
Set up the parameters optimization methods.
Powell : a method for finding a minimum of a function without the need for gradient information, relying on a set of directions to minimize along and updating them based on function evaluations.
VBMC : is an approximate inference method designed to fit and evaluate computational models with a limited budget of potentially noisy likelihood evaluations (e.g., for computationally expensive models).
Suggestions: Users can use the Powell algorithm for faster fitting, more random seeds or the VBMC algorithm for more accurate results (which is more time consuming).