DataConfig

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

Schema for data path configuration.

Methods

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