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weka.GaussianProcesses_PolyKernel

weka.GaussianProcesses_PolyKernel

Visibility: public Uploaded 15-05-2014 by Joaquin Vanschoren Weka_3.7.10 17 runs
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  • Verified_Supervised_Classification
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David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.

Components

Kweka.PolyKernel(1)The Kernel to use. (default: weka.classifiers.functions.supportVector.PolyKernel)

Parameters

CThe size of the cache (a prime number), 0 for full cache and -1 to turn it off. (default: 250007)
DIf set, classifier is run in debug mode and may output additional info to the console
EThe Exponent to use. (default: 1.0)
KThe Kernel to use. (default: weka.classifiers.functions.supportVector.PolyKernel)default: weka.classifiers.functions.supportVector.PolyKernel
LLevel of Gaussian Noise wrt transformed target. (default 1)default: 1.0
NWhether to 0=normalize/1=standardize/2=neither. (default 0=normalize)default: 0
no-checksTurns off all checks - use with caution! (default: checks on)

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