#Weka.classifiers.functions Classes and Interfaces

_{#Weka.classifiers.functions Classes and Interfaces - 24 results found.}

Name	Description	Type	Package	Framework
CachedKernel	Base class for RBFKernel and PolyKernel that implements a simple LRU.	Class	weka.classifiers.functions.supportVector	Weka
CheckKernel	Class for examining the capabilities and finding problems with kernels.	Class	weka.classifiers.functions.supportVector	Weka
MultilayerPerceptron	A Classifier that uses backpropagation to classify This network can be built by hand, created by an algorithm or both.	Class	weka.classifiers.functions	Weka
NeuralConnection	Abstract unit in a NeuralNetwork.	Class	weka.classifiers.functions.neural	Weka
NeuralMethod	This is an interface used to create classes that can be used by the neuralnode to perform all it's computations.	Interface	weka.classifiers.functions.neural	Weka
NeuralNode	This class is used to represent a node in the neuralnet.	Class	weka.classifiers.functions.neural	Weka
NormalizedPolyKernel	The normalized polynomial kernel.	Class	weka.classifiers.functions.supportVector	Weka
PolyKernel	The polynomial kernel : K(x, y) = ^p or K(x, y) = (+1)^p	Class	weka.classifiers.functions.supportVector	Weka
PrecomputedKernelMatrixKernel	This kernel is based on a static kernel matrix that is read from a file.	Class	weka.classifiers.functions.supportVector	Weka
Puk	The Pearson VII function-based universal kernel.	Class	weka.classifiers.functions.supportVector	Weka
RBFKernel	The RBF kernel.	Class	weka.classifiers.functions.supportVector	Weka
RegOptimizer	Base class implementation for learning algorithm of SMOreg Valid options are:	Class	weka.classifiers.functions.supportVector	Weka
RegSMO	Implementation of SMO for support vector regression A.	Class	weka.classifiers.functions.supportVector	Weka
RegSMOImproved	Learn SVM for regression using SMO with Shevade, Keerthi, et al.	Class	weka.classifiers.functions.supportVector	Weka
SGD	Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression, squared loss, Huber loss and epsilon-insensitive loss linear regression).	Class	weka.classifiers.functions	Weka
SGDText	Implements stochastic gradient descent for learning a linear binary class SVM or binary class logistic regression on text data.	Class	weka.classifiers.functions	Weka
SGDText .Count		Class	weka.classifiers.functions	Weka
SigmoidUnit	This can be used by the neuralnode to perform all it's computations (as a sigmoid unit).	Class	weka.classifiers.functions.neural	Weka
SimpleLinearRegression	Learns a simple linear regression model.	Class	weka.classifiers.functions	Weka
SimpleLogistic	Classifier for building linear logistic regression models.	Class	weka.classifiers.functions	Weka
SMO	Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier.	Class	weka.classifiers.functions	Weka
SMOreg	SMOreg implements the support vector machine for regression.	Class	weka.classifiers.functions	Weka
SMOset	Stores a set of integer of a given size.	Class	weka.classifiers.functions.supportVector	Weka
VotedPerceptron	Implementation of the voted perceptron algorithm by Freund and Schapire.	Class	weka.classifiers.functions	Weka

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