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Module: meridian.analysis.analyzer Stay organized with collections
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Methods to compute analysis metrics of the model and the data.
Classes
class Analyzer
: Runs calculations to analyze the raw data after fitting the model.
class DataTensors
: Container for data variable arguments of Analyzer methods.
class DistributionTensors
: Container for parameters distributions arguments of Analyzer methods.
Functions
get_central_tendency_and_ci(...)
: Calculates mean and credible intervals for the given data.
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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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-12-09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 document outlines tools for analyzing model and data metrics. The `Analyzer` class performs calculations on raw data post-model fitting. `DataTensors` and `DistributionTensors` classes serve as containers for data variables and parameter distributions, respectively, which are used as arguments in the `Analyzer` methods. The source code for these tools can be viewed on GitHub.\n"]]
