DMO Aggregation

Algorithms to aggregate results across walking bouts.

Aggregator Classes

MobilisedAggregator([groupby, ...])

Implementation of the aggregation algorithm utilized in Mobilise-D.

Functions

Algorithms to aggregate results across walking bouts.

apply_thresholds(input_data, thresholds, *, ...)	Apply DMO thresholds to input data and return a DataFrame check whether each data point is within the threshold.
get_mobilised_dmo_thresholds()	Load the mobilised DMO thresholds.

Base Classes

Base class for aggregators.

BaseAggregator()

Base class for aggregators.

Docu-helper

base_aggregator_docfiller(func)

Decorator to fill common parts of the docstring for subclasses of BaseAggregator.