reVeal.config.score_weighted.Attribute

class Attribute(*, attribute: str, weight: Annotated[float, Strict(strict=True), Gt(gt=0), Le(le=1)], dset_src: Annotated[Path, PathType(path_type=file)])

Bases: BaseModelStrict

Inputs for a single attribute entry in the ScoreCompositeConfig.

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

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Methods

attribute_check()

Check that attribute is present in the input dataset and is a numeric datatype.

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.
attribute
weight
dset_src

attribute_check()

Check that attribute is present in the input dataset and is a numeric datatype.

Raises:

TypeError – A TypeError will be raised if the input attribute exists in the dataset but is not a numeric datatype.

model_config: ClassVar[ConfigDict] = {'extra': 'forbid'}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to “allow”.

property model_fields_set: set[str]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.