Module: meridian.model.model
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Meridian module for the geo-level Bayesian hierarchical media mix model.
Classes
class MCMCOOMError: The Markov Chain Monte Carlo (MCMC) sampling exceeds memory limits.
class MCMCSamplingError: The Markov Chain Monte Carlo (MCMC) sampling failed.
class Meridian: Contains the main functionality for fitting the Meridian MMM model.
class NotFittedModelError: Model has not been fitted.
Functions
load_mmm(...): Load the model object from a pickle file path.
save_mmm(...): Save the model object to a pickle file path.
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Last updated 2025-02-13 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-02-13 UTC."],[[["The Meridian module is designed for geo-level Bayesian hierarchical media mix modeling."],["It includes a core `Meridian` class that encapsulates the functionality for fitting the Media Mix Model (MMM)."],["The module defines specific error classes, including `MCMCOOMError` for memory limit issues and `MCMCSamplingError` for sampling failures during the Markov Chain Monte Carlo (MCMC) process."],["The module also features functions for persisting the fitted model, enabling users to save and load the model object using `save_mmm` and `load_mmm`, respectively."]]],[]]