MMMYamlConfig#

class pymc_marketing.mmm.builders.schema.MMMYamlConfig(**data)[source]#

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_construct`([_fields_set])	Creates a new instance of the `Model` class with validated data.
`MMMYamlConfig.model_copy`(*[, update, deep])	!!! abstract "Usage Documentation"
`MMMYamlConfig.model_dump`(*[, mode, include, ...])	!!! abstract "Usage Documentation"
`MMMYamlConfig.model_dump_json`(*[, indent, ...])	!!! abstract "Usage Documentation"
`MMMYamlConfig.model_json_schema`([by_alias, ...])	Generates a JSON schema for a model class.
`MMMYamlConfig.model_parametrized_name`(params)	Compute the class name for parametrizations of generic classes.
`MMMYamlConfig.model_post_init`(context, /)	Override this method to perform additional initialization after `__init__` and `model_construct`.
`MMMYamlConfig.model_rebuild`(*[, force, ...])	Try to rebuild the pydantic-core schema for the model.
`MMMYamlConfig.model_validate`(obj, *[, ...])	Validate a pydantic model instance.
`MMMYamlConfig.model_validate_json`(json_data, *)	!!! abstract "Usage Documentation"
`MMMYamlConfig.model_validate_strings`(obj, *)	Validate the given object with string data against the Pydantic model.
`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`