dataeval.utils.metadata¶

Metadata related utility functions that help organize raw metadata into Metadata objects for use within DataEval.

Classes¶

`Metadata`	Dataclass containing binned metadata from the `preprocess()` function.

`flatten`(d, sep, ignore_lists, fully_qualified)	Flattens a dictionary and converts values to numeric values when possible.
`merge`(metadata[, ignore_lists, fully_qualified, as_numpy])	Merges a collection of metadata dictionaries into a single flattened dictionary of keys and values.
`preprocess`(raw_metadata, class_labels[, ...])	Restructures the metadata to be in the correct format for the bias functions.