ParametrizedNearestNeighborSearcher
- class pyirf.interpolation.ParametrizedNearestNeighborSearcher(grid_points, params, norm_ord=2)[source]
Bases:
BaseNearestNeighborSearcherDummy NearestNeighbor approach usable instead of actual interpolation/extrapolation Compatible with parametrized IRF component API.
Methods Summary
__call__(target_point)Providing a common __call__ interface
interpolate(target_point)Takes a grid of IRF values for a bunch of different parameters and returns the values at the nearest grid point as seen from the target point.
Methods Documentation
- __call__(target_point)
Providing a common __call__ interface
- Parameters:
- target_point: np.ndarray, shape=(1, n_dims)
Target for inter-/extrapolation When target_point is outside of the grids convex hull but extrapolator is None
- Returns:
- Interpolated result.
- interpolate(target_point)
Takes a grid of IRF values for a bunch of different parameters and returns the values at the nearest grid point as seen from the target point.
- Parameters:
- target_point: numpy.ndarray, shape=(1, n_dims)
Value for which the nearest neighbor should be found (target point)
- Returns:
- content_new: numpy.ndarray, shape=(1, …)
values at nearest neighbor
Notes
In case of multiple nearest neighbors, the values corresponding to the first one are returned.