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schema.model_consumer.ModelConsumer

Consumes a trained Meridian model and produces an Mmm proto.

schema.model_consumer.ModelConsumer(
    model_processors_classes: Sequence[ProcType]
)

Attributes
`model_processors`	A preset list of model processor types.
`specs_to_processors_classes`	Returns a mapping of spec types to their corresponding processor types.

Methods

__call__(
    mmm: model.Meridian,
    specs: Sequence[model_processor.Spec],
    model_id: str = ''
) -> mmm_pb.Mmm

Produces an Mmm schema for the model along with its analyses results.

Args
`mmm`	A trained Meridian model. A trained model has its posterior distributions already sampled.
`specs`	A sequence of specs that specify the analyses to run on the model. Specs of the same type will be grouped together and executed together by the corresponding model processor.
`model_id`	An optional model identifier.

Returns
A proto containing the model kernel at rest and its analysis results.