meridian.model.model.MCMCOOMError
Stay organized with collections
Save and categorize content based on your preferences.
The Markov Chain Monte Carlo (MCMC) sampling exceeds memory limits.
View aliases
Main aliases
`meridian.model.posterior_sampler.MCMCOOMError`
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-12-09 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-12-09 UTC."],[],["The core issue is an `MCMCOOMError`, indicating that Markov Chain Monte Carlo (MCMC) sampling is exceeding available memory limits. The relevant information is the error type itself, `MCMCOOMError`, which stems from the `meridian.model.posterior_sampler` module. Additionally, the alias `meridian.model.posterior_sampler.MCMCOOMError` refers directly to this memory-related error. The provided source location for this is in GitHub.\n"]]