| Kernel Function |
| ############### |
| |
| .. currentmodule:: datasketches |
| |
| A `kernel function <https://en.wikipedia.org/wiki/Positive-definite_kernel>`_ is a specific type of |
| mathematical funciton that is particularly useful in certain machine learning and pattern recognition |
| contexts. The :class:`density_sketch` performs approximate |
| `kernel density estimation <https://en.wikipedia.org/wiki/Kernel_density_estimation>`_ which, unsurprisingly, |
| relies on the use of such a kernel function. |
| |
| The library provides an abstract base class :class:`KernelFunction` and an example implementation of a |
| Gaussian (also known as a Radial Basis Function) kernel. Custom classes must override the base class |
| and provide a floating point value as a score indicating the similarity of two input vectors. |
| |
| .. autoclass:: KernelFunction |
| |
| .. automethod:: __call__ |
| |
| .. autoclass:: GaussianKernel |
| :show-inheritance: |
