backend.results

class backend.results.Result

The abstract interface for all result classes. DO NOT INSTANTIATE

excluded_params = []

property key

good_threshold = 0

classmethod print(printer=<built-in function print>, data=None, print_data=True)

classmethod compare(res1, res2=None)

True: arg1 is better or equal False: arg2 is better

abstract calc(data, moving, timestep=0.033, **kwargs)

class backend.results.RiseTime(**kwargs)

good_threshold = 0.5

__init__(**kwargs)

Initialize self. See help(type(self)) for accurate signature.

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.FirstHoldTime(**kwargs)

good_threshold = 1

__init__(**kwargs)

Initialize self. See help(type(self)) for accurate signature.

classmethod compare(res1, res2=None)

bigger is better

calc(data, moving, timestep=0.033, return_all=False, **kwargs)

class backend.results.MaxHoldTime(**kwargs)

good_threshold = 1

__init__(**kwargs)

Initialize self. See help(type(self)) for accurate signature.

classmethod compare(res1, res2=None)

bigger is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.RatioOnTarget(**kwargs)

good_threshold = 0.6

__init__(**kwargs)

Initialize self. See help(type(self)) for accurate signature.

classmethod compare(res1, res2=None)

bigger is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.TrajectoryLength

good_threshold = 1

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.Success(**kwargs)

good_threshold = 0.9

__init__(**kwargs)

Initialize self. See help(type(self)) for accurate signature.

classmethod print(printer=<built-in function print>, data=None, print_data=True)

classmethod compare(res1, res2=None)

bigger is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.RMSEMoving(**kwargs)

good_threshold = 0.25

__init__(**kwargs)

Initialize self. See help(type(self)) for accurate signature.

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, actually_calc_stationary=False, actually_calc_cross=False, actually_calc_all=False, actually_calc_mse=False, **kwargs)

class backend.results.RMSEStationary(**kwargs)

good_threshold = 0.1

__init__(**kwargs)

Initialize self. See help(type(self)) for accurate signature.

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.RMSECross(**kwargs)

good_threshold = 0.1

__init__(**kwargs)

Initialize self. See help(type(self)) for accurate signature.

classmethod print(printer=<built-in function print>, data=None, print_data=True)

classmethod aggregate(data)

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.RMSETotal(**kwargs)

good_threshold = 0.15

__init__(**kwargs)

Initialize self. See help(type(self)) for accurate signature.

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.RMSEAll(**kwargs)

good_threshold = 0.15

__init__(**kwargs)

Initialize self. See help(type(self)) for accurate signature.

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.MSENormalized

good_threshold = 0.3

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.MSE

good_threshold = 0.3

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.MSEMoving(**kwargs)

good_threshold = 0.3

__init__(**kwargs)

Initialize self. See help(type(self)) for accurate signature.

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.MSE_STATIONARY

good_threshold = 0.3

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.RMSE

good_threshold = 0.15

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.RSquared

good_threshold = 0.8

classmethod compare(res1, res2=None)

higher is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.DOFCorrelation

good_threshold = 0.3

classmethod print(printer=<built-in function print>, data=None, print_data=True)

classmethod compare(res1, res2=None)

lower is better

calc(data, moving, timestep=0.033, **kwargs)

class backend.results.LMAJ

good_threshold = 5

classmethod compare(res1, res2=None)

smaller is better

calc(data, moving, timestep=0.033, **kwargs)