HSGPBase#

class pymc_marketing.mmm.hsgp.HSGPBase(**data)[source]#

Shared logic between HSGP and HSGPPeriodic.

Methods

`HSGPBase.__init__`(**data)	Create a new model by parsing and validating input data from keyword arguments.
`HSGPBase.construct`([_fields_set])
`HSGPBase.copy`(*[, include, exclude, update, ...])	Returns a copy of the model.
`HSGPBase.create_variable`(name)	Create a variable from configuration.
`HSGPBase.deterministics_to_replace`(name)	Name of the Deterministic variables that are replaced with pm.Flat for out-of-sample.
`HSGPBase.dict`(*[, include, exclude, ...])
`HSGPBase.from_orm`(obj)
`HSGPBase.json`(*[, include, exclude, ...])
`HSGPBase.model_construct`([_fields_set])	Creates a new instance of the `Model` class with validated data.
`HSGPBase.model_copy`(*[, update, deep])	Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#model_copy
`HSGPBase.model_dump`(*[, mode, include, ...])	Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#modelmodel_dump
`HSGPBase.model_dump_json`(*[, indent, ...])	Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#modelmodel_dump_json
`HSGPBase.model_json_schema`([by_alias, ...])	Generates a JSON schema for a model class.
`HSGPBase.model_parametrized_name`(params)	Compute the class name for parametrizations of generic classes.
`HSGPBase.model_post_init`(_BaseModel__context)	Override this method to perform additional initialization after `__init__` and `model_construct`.
`HSGPBase.model_rebuild`(*[, force, ...])	Try to rebuild the pydantic-core schema for the model.
`HSGPBase.model_validate`(obj, *[, strict, ...])	Validate a pydantic model instance.
`HSGPBase.model_validate_json`(json_data, *[, ...])	Usage docs: https://docs.pydantic.dev/2.10/concepts/json/#json-parsing
`HSGPBase.model_validate_strings`(obj, *[, ...])	Validate the given object with string data against the Pydantic model.
`HSGPBase.parse_file`(path, *[, content_type, ...])
`HSGPBase.parse_obj`(obj)
`HSGPBase.parse_raw`(b, *[, content_type, ...])
`HSGPBase.plot_curve`(curve[, subplot_kwargs, ...])	Plot the curve.
`HSGPBase.register_data`(X)	Register the data to be used in the model.
`HSGPBase.sample_prior`([coords])	Sample from the prior distribution.
`HSGPBase.schema`([by_alias, ref_template])
`HSGPBase.schema_json`(*[, by_alias, ref_template])
`HSGPBase.to_dict`()	Convert the object to a dictionary.
`HSGPBase.update_forward_refs`(**localns)
`HSGPBase.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.
`m`
`X`
`X_mid`
`dims`
`transform`
`demeaned_basis`