sit2standpy.v2.Sequential¶

class sit2standpy.v2.pipeline.Sequential¶

Sequential model for procssing a pipeline for IMU analysis

Parameters:	sampling_frequency : float Sampling frequency of the IMU data provided to the model

Methods

add(process)	Add a processing step to the pipeline.
predict(data)	Predict/run the processing pipeline on the input data

add(process)¶

Add a processing step to the pipeline.

Parameters:	process : class A instantiated process class, that has a predict method that takes in data as a dictionary or path to a HDF file(see `predict`)

predict(data)¶

Predict/run the processing pipeline on the input data

Parameters:	data : {str, dict} Either a H5 file path (string), or a dictionary. Both the H5 format and the dictionary must follow the below format. The h5 file or dictionary will be modified in-place.

Notes

The layout for the input H5 file or the dictionary must be as follows: