A factory for kernel functions.
$ npm i 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:
linear - Linear kernelgaussian or rbf - Gaussian (radial basis function) kernelpolynomial or poly - Polynomial kernelexponential - Exponential kernellaplacian - Laplacian kernelanova - ANOVA kernelrational - Rational Quadratic kernelmultiquadratic - Multiquadratic kernelcauchy - Cauchy kernelhistogram or min - Histogram Intersection kernelsigmoid or `mlp' - Sigmoid (hyperbolic tangent) kernelThis 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.
FAQs
A factory for kernel functions
We found that ml-kernel demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 7 open source maintainers collaborating on the project.
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