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ml-kernel
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Readme
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
The npm package ml-kernel receives a total of 13,672 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.
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