BaseOrientationEstimation#
- class mobgap.orientation_estimation.base.BaseOrientationEstimation[source]#
Base class for the individual Orientation estimation methods that work on pd.DataFrame data.
- Attributes:
orientation_Orientations as pd.DataFrame.
rotated_data_Rotated data.
Methods
clone()Create a new instance of the class with all parameters copied over.
estimate(data, *, sampling_rate_hz, **kwargs)Estimate the orientation of the sensor based on the input data.
get_params([deep])Get parameters for this algorithm.
set_params(**params)Set the parameters of this Algorithm.
- __init__(*args, **kwargs)#
- clone() Self[source]#
Create a new instance of the class with all parameters copied over.
This will create a new instance of the class itself and all nested objects
- get_params(deep: bool = True) dict[str, Any][source]#
Get parameters for this algorithm.
- Parameters:
- deep
Only relevant if object contains nested algorithm objects. If this is the case and deep is True, the params of these nested objects are included in the output using a prefix like
nested_object_name__(Note the two “_” at the end)
- Returns:
- params
Parameter names mapped to their values.
