CalibrationStep

class pymc_marketing.mmm.builders.schema.CalibrationStep(**data)

Schema for a single calibration step.

Methods

CalibrationStep.__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
CalibrationStep.construct([_fields_set])
CalibrationStep.copy(*[, include, exclude, ...])	Returns a copy of the model.
CalibrationStep.dict(*[, include, exclude, ...])
CalibrationStep.from_orm(obj)
CalibrationStep.json(*[, include, exclude, ...])
CalibrationStep.model_parametrized_name(params)	Compute the class name for parametrizations of generic classes.
CalibrationStep.parse_file(path, *[, ...])
CalibrationStep.parse_obj(obj)
CalibrationStep.parse_raw(b, *[, ...])
CalibrationStep.schema([by_alias, ref_template])
CalibrationStep.schema_json(*[, by_alias, ...])
CalibrationStep.update_forward_refs(**localns)
CalibrationStep.validate(value)

Attributes

model_computed_fields
model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_extra	Get extra fields set during validation.
model_fields
model_fields_set	Returns the set of fields that have been explicitly set on this model instance.
method_name
params