InstalledSamplers#

class pymc_marketing.utils.InstalledSamplers(**data)[source]#

Schema for the samplers available to PyMC-Marketing and the default selection.

Methods

InstalledSamplers.__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

InstalledSamplers.construct([_fields_set])

InstalledSamplers.copy(*[, include, ...])

Returns a copy of the model.

InstalledSamplers.dict(*[, include, ...])

InstalledSamplers.from_orm(obj)

InstalledSamplers.json(*[, include, ...])

InstalledSamplers.model_construct([_fields_set])

Creates a new instance of the Model class with validated data.

InstalledSamplers.model_copy(*[, update, deep])

!!! abstract "Usage Documentation"

InstalledSamplers.model_dump(*[, mode, ...])

!!! abstract "Usage Documentation"

InstalledSamplers.model_dump_json(*[, ...])

!!! abstract "Usage Documentation"

InstalledSamplers.model_json_schema([...])

Generates a JSON schema for a model class.

InstalledSamplers.model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

InstalledSamplers.model_post_init(context, /)

Override this method to perform additional initialization after __init__ and model_construct.

InstalledSamplers.model_rebuild(*[, force, ...])

Try to rebuild the pydantic-core schema for the model.

InstalledSamplers.model_validate(obj, *[, ...])

Validate a pydantic model instance.

InstalledSamplers.model_validate_json(...[, ...])

!!! abstract "Usage Documentation"

InstalledSamplers.model_validate_strings(obj, *)

Validate the given object with string data against the Pydantic model.

InstalledSamplers.parse_file(path, *[, ...])

InstalledSamplers.parse_obj(obj)

InstalledSamplers.parse_raw(b, *[, ...])

InstalledSamplers.schema([by_alias, ...])

InstalledSamplers.schema_json(*[, by_alias, ...])

InstalledSamplers.update_forward_refs(**localns)

InstalledSamplers.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.

available

default

versions