data_designer.config.dataset_metadata
data_designer.config.dataset_metadata
data_designer.config.dataset_metadata
Bases: pydantic.BaseModel
Metadata about a generated dataset.
This object is created by the engine and passed to results objects for use in visualization and other client-side utilities. It is designed to be serializable so it can be sent over the wire in a client-server architecture.
Parameters:
Names of columns from the seed dataset. Empty list if no seed dataset.
Attributes:
Names of columns from the seed dataset. Empty list if no seed dataset.
Initialization:
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.