The Markov Chain Monte Carlo (MCMC) sampling exceeds memory limits.
meridian.model.model.MCMCOOMError
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Last updated 2025-09-05 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-05 UTC."],[[["\u003cp\u003eThe provided content is sourced from a specific file on GitHub, specifically a Python file within the Google Meridian project.\u003c/p\u003e\n"],["\u003cp\u003eThe core issue highlighted is that the Markov Chain Monte Carlo (MCMC) method encounters memory limit constraints.\u003c/p\u003e\n"]]],["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"],null,["\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/google/meridian/blob/v1.2.0/meridian/model/posterior_sampler.py#L40-L41) |\n\nThe Markov Chain Monte Carlo (MCMC) sampling exceeds memory limits.\n\nView aliases\n\n\n**Main aliases**\n\n\\`meridian.model.posterior_sampler.MCMCOOMError\\`\n\n\u003cbr /\u003e"]]
