A factory for kernel functions

$ npm install ml-kernel

This function can be called with a matrix of input vectors and optional landmarks. If no landmark is provided, the input vectors will be used.

Available kernels

• gaussian or rbf - Gaussian (radial basis function) kernel
• polynomial or poly - Polynomial kernel
• exponential - Exponential kernel
• laplacian - Laplacian kernel
• anova - ANOVA kernel
• rational - Rational Quadratic kernel
• multiquadratic - Multiquadratic kernel
• cauchy - Cauchy kernel
• histogram or min - Histogram Intersection kernel

This function can be called with a matrix of input vectors and optional landmarks. If no landmark is provided, the input vectors will be used.
The function returns a kernel matrix of feature space vectors.

MIT