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schema.processors.model_fit_processor.ModelFitSpec

Stores parameters needed for generating ModelFit protos.

schema.processors.model_fit_processor.ModelFitSpec(
    split: bool = True,
    confidence_level: float = constants.DEFAULT_CONFIDENCE_LEVEL
)

Attributes
`split`	If `True` and Meridian model contains holdout IDs, results are generated for `'Train'`, `'Test'`, and `'All Data'` sets.
`confidence_level`	Confidence level for prior and posterior credible intervals, represented as a value between zero and one.

Methods

validate()

Checks whether each parameter in the Spec has a valid value.

Raises
`ValueError`	If any parameter in the Spec has an invalid value.

__eq__(
    other
)

Return self==value.

Class Variables
confidence_level	`0.9`
split	`True`

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Last updated 2025-12-09 UTC.