meridian.model.prior_sampler.PriorDistributionSampler
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A callable that samples from a model spec's prior distributions.
meridian.model.prior_sampler.PriorDistributionSampler(
meridian: 'model.Meridian'
)
Methods
__call__
View source
__call__(
n_draws: int, seed: (int | None) = None
) -> None
Draws samples from prior distributions.
| Args |
|---|
n_draws
|
Number of samples drawn from the prior distribution.
|
seed
|
Used to set the seed for reproducible results. For more information,
see PRNGS and seeds.
|
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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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-12-09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 `PriorDistributionSampler` samples from a model's prior distributions. It includes methods to compute tensors for `beta_m` and `beta_rf` via `get_roi_prior_beta_m_value` and `get_roi_prior_beta_rf_value`, respectively. The `__call__` method generates samples from the prior distributions, returning an Arviz `InferenceData` object. This method takes the number of samples (`n_draws`) and an optional seed for reproducibility as inputs.\n"]]
View source on GitHub