mobgap.gait_sequences.evaluation.gsd_evaluation_scorer#

mobgap.gait_sequences.evaluation.gsd_evaluation_scorer( pipeline: GsdEmulationPipeline, datapoint: BaseGaitDatasetWithReference, ) → dict[source]#

Evaluate the performance of a GSD algorithm on a single datapoint.

This function is used to evaluate the performance of a GSD algorithm on a single datapoint. It calculates the performance metrics based on the detected gait sequences and the reference gait sequences.

This is the default scoring functions for the GSD evaluation pipelines (GsdEvaluation and GsdEvaluationCV).

Parameters:

pipeline: An instance of GSD emulation pipeline that wraps the algorithm that should be evaluated.
datapoint: The datapoint to be evaluated.

Returns:

dict: A dictionary containing the performance metrics. Note, that some results are wrapped in a NoAgg object or other aggregators. The results of this function are not expected to be parsed manually, but rather the function is expected to be used in the context of the validate/cross_validate functions or similar as scorer. This functions will aggregate the results and provide a summary of the performance metrics.