python/datasketches/KernelFunction.py (9 lines of code) (raw):
# Licensed to the Apache Software Foundation (ASF) under one
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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
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import numpy as np
from _datasketches import KernelFunction
# This file provides an example Python Kernel Function implementation.
#
# Each implementation must extend the KernelFunction class
# and define the __call__ method
# Implements a basic Gaussian Kernel
class GaussianKernel(KernelFunction):
def __init__(self, bandwidth: float=1.0):
KernelFunction.__init__(self)
self._bw = bandwidth
self._scale = -0.5 * (bandwidth ** -2)
def __call__(self, a: np.array, b: np.array) -> float:
return np.exp(self._scale * np.linalg.norm(a - b)**2)