jsat.parameters

Interface Parameterized

All Known Subinterfaces:

KernelTrick

All Known Implementing Classes:

AdaBoostM1, AdaBoostM1PL, ALMA2K, AMM, ArcX4, AROW, BackPropagationNet, Bagging, BaseKernelTrick, BaseL2Kernel, BBR, BestClassDistribution, BinaryCalibration, BOGD, CPM, CSKLR, CSKLRBatch, DANN, DataModelPipeline, DataTransformBase, DataTransformProcess, DCD, DCDs, DCSVM, DDAG, DecisionStump, DecisionTree, DistanceMetricBasedKernel, DReDNetSimple, DUOL, ElkanKernelKMeans, ElkanKMeans, EmphasisBoost, ERTrees, ExponetialDecay, ExtraTree, FLAME, Forgetron, GapStatistic, GeneralRBFKernel, GMeans, HamerlyKMeans, HDBSCAN, InverseDecay, IsotonicCalibration, JLTransform, KernelKMeans, KernelPCA, KernelRidgeRegression, KernelRLS, KernelSGD, KMeans, KMeansPDN, LinearBatch, LinearDecay, LinearKernel, LinearL1SCD, LinearSGD, LloydKernelKMeans, LogisticRegressionDCD, LogitBoost, LogitBoostPL, LSDBC, LSSVM, LVQ, LVQLLC, LWL, MetricKDE, ModestAdaBoost, MultinomialNaiveBayes, MultivariateNormals, NadarayaWatson, NaiveBayes, NaiveKMeans, NearestNeighbour, NewGLMNET, NHERD, NormalizedKernel, Nystrom, OneVSAll, OneVSOne, OnlineAMM, OnlineLDAsvi, OPTICS, OrdinaryKriging, OSKL, PassiveAggressive, Pegasos, PegasosK, PlattCalibration, PlattSMO, PolynomialKernel, PowerDecay, Projectron, PukKernel, RandomDecisionTree, RandomForest, RANSAC, RationalQuadraticKernel, RBFKernel, RBFNet, RegressorToClassifier, RFF_RBF, RidgeRegression, SAMME, SBP, SCD, SCW, SigmoidKernel, SMIDAS, SOM, SPA, STGD, StochasticGradientBoosting, StochasticMultinomialLogisticRegression, StochasticRidgeRegression, StochasticSTLinearL1, Wagging, WaggingNormal, WhitenedPCA, WhitenedZCA, XMeans

public interface Parameterized

An algorithm may be Parameterized, meaning it has one or more parameters that can be tuned or alter the results of the algorithm in question.

Author:

Edward Raff

Method Summary

Modifier and Type	Method and Description
Parameter	getParameter(String paramName) Returns the parameter with the given name.
List<Parameter>	getParameters() Returns the list of parameters that can be altered for this learner.

Method Detail

getParameters

List<Parameter> getParameters()

Returns the list of parameters that can be altered for this learner.

Returns:

the list of parameters that can be altered for this learner.

getParameter

Parameter getParameter(String paramName)

Returns the parameter with the given name. Two different strings may map to a single Parameter object. An ASCII only string, and a Unicode style string.

Parameters:

paramName - the name of the parameter to obtain

Returns:

the Parameter in question, or null if no such named Parameter exists.