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G

GaussianKernel - Class in pt.utl.ist.online.learning.kernels
Implements the Gaussian kernel to be used in this framework
GaussianKernel(double) - Constructor for class pt.utl.ist.online.learning.kernels.GaussianKernel
Creates a Gaussian Kernel specifying the variation inverse
getB() - Method in class pt.utl.ist.online.learning.engines.KernelPegasosEngine
Gets the bias term used in this model
getB() - Method in class pt.utl.ist.online.learning.KernelBinaryOnlineAlgorithm
Gets the bias term value present at SVM based OnlineEngine
getBNorm() - Method in class pt.utl.ist.online.learning.kernels.Kernel
Get the bNorm variable which tells if the kernel is normalised
getData() - Method in class pt.utl.ist.online.learning.utils.DataObject
Gets the object of type E encapsulated by this DataObject
getId() - Method in class pt.utl.ist.online.learning.utils.DataObject
Gets the unique identifier of this DataObject
getKernel() - Method in class pt.utl.ist.online.learning.engines.KernelPegasosEngine
Gets the kernel used in this engine
getKernelAccesses() - Method in class pt.utl.ist.online.learning.engines.KernelPegasosEngine
Gets the number of calls made to the kernels during the training
getResult(DataObject<E>) - Method in class pt.utl.ist.online.learning.engines.KernelPegasosEngine
 
getResult(DataObject<E>) - Method in interface pt.utl.ist.online.learning.engines.OnlineEngine
Uses this online model to predict the label for a data instance of type E encapsulated by a DataObject
getResult(DataObject<E>) - Method in class pt.utl.ist.online.learning.multiclass.MulticlassMethod
Classifies a data instance with a label
getResult(DataObject<E>) - Method in class pt.utl.ist.online.learning.multiclass.OneVsAllMulticlassMethod
 
getScore(DataObject<E>) - Method in class pt.utl.ist.online.learning.engines.KernelPegasosEngine
 
getScore(DataObject<E>) - Method in interface pt.utl.ist.online.learning.engines.OnlineEngine
Gets the certainty score of this model prediction for a data instance of type E
getWeights() - Method in class pt.utl.ist.online.learning.engines.KernelPegasosEngine
Gets the weights for each SV (Support Vector) in this model SV is a data instance with non-zero weight, it is used to compose this model
getWeights() - Method in class pt.utl.ist.online.learning.KernelBinaryOnlineAlgorithm
Used for SVM based OnlineEngine, it returns the weights for the Support Vectors
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