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ml-kernel
A factory for kernel functions.
Installation
$ npm i ml-kernel
Usage
new Kernel(type, options)
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 kernelgaussianorrbf- Gaussian (radial basis function) kernelpolynomialorpoly- Polynomial kernelexponential- Exponential kernellaplacian- Laplacian kernelanova- ANOVA kernelrational- Rational Quadratic kernelmultiquadratic- Multiquadratic kernelcauchy- Cauchy kernelhistogramormin- Histogram Intersection kernelsigmoidor `mlp' - Sigmoid (hyperbolic tangent) kernel
kernel.compute(inputs, landmarks)
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.
License
FAQs
A factory for kernel functions
The npm package ml-kernel receives a total of 17,328 weekly downloads. As such, ml-kernel popularity was classified as popular.
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.
Package last updated on 29 Jun 2019
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