Scale¶

class Scale(*args, **kwargs)¶

Bases: pybind11_object

Contains various estimators for scale. Methods : Median Absolute Deviation (MAD), MPDE, Mean shift kernel density estimation.

Contains different methods for estimating the robust scale of an error distribution.

Methods of Median Absolute Deviation and Density Gradient estimation using the Mean Shift method.

Overloaded function.

1. __init__(self: visp._visp.core.Scale) -> None

Constructor.

2. __init__(self: visp._visp.core.Scale, kernel_bandwidth: float, dim: int = 1) -> None

Constructor.

Methods

KernelDensity
KernelDensityGradient
KernelDensityGradient_EPANECHNIKOV
KernelDensity_EPANECHNIKOV
MeanShift
__init__	Overloaded function.

Inherited Methods

Operators

__doc__
__init__	Overloaded function.
__module__

Attributes

__annotations__

KernelDensity(self, error: visp._visp.core.ColVector, position: int) → float¶

KernelDensityGradient(self, error: visp._visp.core.ColVector, position: int) → float¶

KernelDensityGradient_EPANECHNIKOV(self, X: float, n: int) → float¶

KernelDensity_EPANECHNIKOV(self, X: visp._visp.core.ColVector) → float¶

MeanShift(self, error: visp._visp.core.ColVector) → float¶

__init__(*args, **kwargs)¶

Overloaded function.

1. __init__(self: visp._visp.core.Scale) -> None

Constructor.

2. __init__(self: visp._visp.core.Scale, kernel_bandwidth: float, dim: int = 1) -> None

Constructor.