CustomModelWrapper#

class pymc_marketing.mmm.budget_optimizer.CustomModelWrapper(base_model, idata, channels)[source]#

Wrapper for the BudgetOptimizer to handle custom PyMC models.

Methods

`CustomModelWrapper.__init__`(base_model, ...)	Create a new model by parsing and validating input data from keyword arguments.
`CustomModelWrapper.construct`([_fields_set])
`CustomModelWrapper.copy`(*[, include, ...])	Returns a copy of the model.
`CustomModelWrapper.dict`(*[, include, ...])
`CustomModelWrapper.from_orm`(obj)
`CustomModelWrapper.json`(*[, include, ...])
`CustomModelWrapper.model_construct`([_fields_set])	Creates a new instance of the `Model` class with validated data.
`CustomModelWrapper.model_copy`(*[, update, deep])	!!! abstract "Usage Documentation"
`CustomModelWrapper.model_dump`(*[, mode, ...])	!!! abstract "Usage Documentation"
`CustomModelWrapper.model_dump_json`(*[, ...])	!!! abstract "Usage Documentation"
`CustomModelWrapper.model_json_schema`([...])	Generates a JSON schema for a model class.
`CustomModelWrapper.model_parametrized_name`(params)	Compute the class name for parametrizations of generic classes.
`CustomModelWrapper.model_post_init`(context, /)	This function is meant to behave like a BaseModel method to initialise private attributes.
`CustomModelWrapper.model_rebuild`(*[, force, ...])	Try to rebuild the pydantic-core schema for the model.
`CustomModelWrapper.model_validate`(obj, *[, ...])	Validate a pydantic model instance.
`CustomModelWrapper.model_validate_json`(...)	!!! abstract "Usage Documentation"
`CustomModelWrapper.model_validate_strings`(obj, *)	Validate the given object with string data against the Pydantic model.
`CustomModelWrapper.parse_file`(path, *[, ...])
`CustomModelWrapper.parse_obj`(obj)
`CustomModelWrapper.parse_raw`(b, *[, ...])
`CustomModelWrapper.schema`([by_alias, ...])
`CustomModelWrapper.schema_json`(*[, ...])
`CustomModelWrapper.update_forward_refs`(**localns)
`CustomModelWrapper.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.
`base_model`
`idata`
`channel_columns`
`adstock`