MMMYamlConfig

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

Schema for the top-level MMM YAML configuration.

Methods

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