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weka.GaussianProcesses_PolyKernel

Visibility: public Uploaded 05-12-2016 by Bailey Weka_3.8.0 0 runs
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David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.

Components

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

-do-not-check-capabilities	If set, classifier capabilities are not checked before classifier is built (use with caution).
C	The size of the cache (a prime number), 0 for full cache and -1 to turn it off. (default: 250007)
E	The Exponent to use. (default: 1.0)
K	The Kernel to use. (default: weka.classifiers.functions.supportVector.PolyKernel)	default: weka.classifiers.functions.supportVector.PolyKernel
L	Level of Gaussian Noise wrt transformed target. (default 1)	default: 1.0
N	Whether to 0=normalize/1=standardize/2=neither. (default 0=normalize)	default: 0
S	Random number seed. (default 1)	default: 1
batch-size	The desired batch size for batch prediction (default 100).
no-checks	Turns off all checks - use with caution! (default: checks on)
num-decimal-places	The number of decimal places for the output of numbers in the model (default 2).
output-debug-info	If set, classifier is run in debug mode and may output additional info to the console

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Parameter:

Rendering chart

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