mobgap.stride_length.evaluation.sl_final_agg

mobgap.stride_length.evaluation.sl_final_agg(

agg_results: dict[str, float],

single_results: dict[str, list],

_: SlEmulationPipeline,

dataset: BaseGaitDatasetWithReference,

) → tuple[dict[str, any], dict[str, list[any]]]

Aggregate the results of the stride length evaluation.

Warning

This function is not meant to be called directly, but as final_aggregator in a tpcp.validate.Scorer. If you are writing custom scoring functions, you can use this function as a template or wrap it in a new function.

This function aggregates the performance metrics as follows:

• The raw stride and WB level values are combined into one dataframe each across the entire dataset.

• All other values are passed through unchanged.