GaussianProcessD¶
- class lsst.afw.math.GaussianProcessD¶
Bases:
pybind11_object
Methods Summary
addPoint
(*args, **kwargs)Overloaded function.
batchInterpolate
(*args, **kwargs)Overloaded function.
getData
(*args, **kwargs)Overloaded function.
getNPoints
(self)interpolate
(*args, **kwargs)Overloaded function.
removePoint
(self, arg0)selfInterpolate
(*args, **kwargs)Overloaded function.
setCovariogram
(self, arg0)setKrigingParameter
(self, arg0)setLambda
(self, arg0)Methods Documentation
- addPoint(*args, **kwargs)¶
Overloaded function.
addPoint(self: lsst.afw.math.GaussianProcessD, arg0: numpy.ndarray, arg1: float) -> None
addPoint(self: lsst.afw.math.GaussianProcessD, arg0: numpy.ndarray, arg1: numpy.ndarray) -> None
- batchInterpolate(*args, **kwargs)¶
Overloaded function.
batchInterpolate(self: lsst.afw.math.GaussianProcessD, arg0: numpy.ndarray, arg1: numpy.ndarray, arg2: numpy.ndarray) -> None
batchInterpolate(self: lsst.afw.math.GaussianProcessD, arg0: numpy.ndarray, arg1: numpy.ndarray) -> None
batchInterpolate(self: lsst.afw.math.GaussianProcessD, arg0: numpy.ndarray, arg1: numpy.ndarray, arg2: numpy.ndarray) -> None
batchInterpolate(self: lsst.afw.math.GaussianProcessD, arg0: numpy.ndarray, arg1: numpy.ndarray) -> None
- getData(*args, **kwargs)¶
Overloaded function.
getData(self: lsst.afw.math.GaussianProcessD, arg0: numpy.ndarray, arg1: numpy.ndarray, arg2: numpy.ndarray) -> None
getData(self: lsst.afw.math.GaussianProcessD, arg0: numpy.ndarray, arg1: numpy.ndarray, arg2: numpy.ndarray) -> None
- getNPoints(self: lsst.afw.math.GaussianProcessD) int ¶
- interpolate(*args, **kwargs)¶
Overloaded function.
interpolate(self: lsst.afw.math.GaussianProcessD, arg0: numpy.ndarray, arg1: numpy.ndarray, arg2: int) -> float
interpolate(self: lsst.afw.math.GaussianProcessD, arg0: numpy.ndarray, arg1: numpy.ndarray, arg2: numpy.ndarray, arg3: int) -> None
- removePoint(self: lsst.afw.math.GaussianProcessD, arg0: int) None ¶
- selfInterpolate(*args, **kwargs)¶
Overloaded function.
selfInterpolate(self: lsst.afw.math.GaussianProcessD, arg0: numpy.ndarray, arg1: int, arg2: int) -> float
selfInterpolate(self: lsst.afw.math.GaussianProcessD, arg0: numpy.ndarray, arg1: numpy.ndarray, arg2: int, arg3: int) -> None
- setCovariogram(self: lsst.afw.math.GaussianProcessD, arg0: lsst.afw.math.CovariogramD) None ¶
- setKrigingParameter(self: lsst.afw.math.GaussianProcessD, arg0: float) None ¶
- setLambda(self: lsst.afw.math.GaussianProcessD, arg0: float) None ¶