- 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