oraclesai.weights.KernelBasedWeightsDefinition

class KernelBasedWeightsDefinition(bandwidth=None, fixed=True, k=2, function='triangular')

Defines a spatial relationship based on a kernel function, a decay function where closer neighbors have larger values while further neighbors have smaller ones.

Parameters:

  • bandwidth – The distance used for the kernel function.

  • fixed – If True, the same bandwidth is used across all the records. Otherwise, the bandwidth is adaptive across observations.

  • k – Number of nearest neighbors used to calculate bandwidth. If fixed=True, the bandwidth is the maximum distance that guarantees that all observations have at least k neighbors; otherwise, the bandwidth is adaptive, so all observations have exactly k neighbors.

  • function – Name of the kernel function to be used. Available options are: triangular, uniform, quadratic, gaussian.

Methods

__init__([bandwidth, fixed, k, function])

from_dict(w_dict)

from_json(json_str)

Attributes

index_allowed

Returns true if the spatial weights may be calculated by passing a spatial index of the data.