Uses of Interface
jsat.distributions.empirical.kernelfunc.KernelFunction

Packages that use KernelFunction

Package	Description
jsat.classifiers.knn
jsat.classifiers.neuralnetwork
jsat.distributions.empirical
jsat.distributions.empirical.kernelfunc
jsat.distributions.multivariate
jsat.parameters

Uses of KernelFunction in jsat.classifiers.knn

Methods in jsat.classifiers.knn that return KernelFunction

Modifier and Type	Method and Description
KernelFunction	LWL.getKernelFunction() Returns the kernel function that will be used to set the weights.

Methods in jsat.classifiers.knn with parameters of type KernelFunction

Modifier and Type	Method and Description
void	LWL.setKernelFunction(KernelFunction kf) Sets the kernel function that will be used to set the weights of each data point in the local set

Constructors in jsat.classifiers.knn with parameters of type KernelFunction

Constructor and Description
LWL(Classifier classifier, int k, DistanceMetric dm, KernelFunction kf) Creates a new LWL classifier
LWL(Classifier classifier, int k, DistanceMetric dm, KernelFunction kf, VectorCollectionFactory<VecPaired<Vec,Double>> vcf) Creates a new LWL classifier
LWL(Regressor regressor, int k, DistanceMetric dm, KernelFunction kf) Creates a new LWL Regressor
LWL(Regressor regressor, int k, DistanceMetric dm, KernelFunction kf, VectorCollectionFactory<VecPaired<Vec,Double>> vcf) Creates a new LWL Regressor

Uses of KernelFunction in jsat.classifiers.neuralnetwork

Fields in jsat.classifiers.neuralnetwork declared as KernelFunction

Modifier and Type	Field and Description
static KernelFunction	SOM.DEFAULT_KF

Uses of KernelFunction in jsat.distributions.empirical

Methods in jsat.distributions.empirical that return KernelFunction

Modifier and Type	Method and Description
static KernelFunction	KernelDensityEstimator.autoKernel(Vec dataPoints) Automatically selects a good Kernel function for the data set that balances Execution time and accuracy

Constructors in jsat.distributions.empirical with parameters of type KernelFunction

Constructor and Description
KernelDensityEstimator(Vec dataPoints, KernelFunction k)
KernelDensityEstimator(Vec dataPoints, KernelFunction k, double h)
KernelDensityEstimator(Vec dataPoints, KernelFunction k, double[] weights)
KernelDensityEstimator(Vec dataPoints, KernelFunction k, double h, double[] weights)

Uses of KernelFunction in jsat.distributions.empirical.kernelfunc

Classes in jsat.distributions.empirical.kernelfunc that implement KernelFunction

Modifier and Type	Class and Description
class	BiweightKF
class	EpanechnikovKF
class	GaussKF
class	TriweightKF
class	UniformKF

Uses of KernelFunction in jsat.distributions.multivariate

Fields in jsat.distributions.multivariate declared as KernelFunction

Modifier and Type	Field and Description
static KernelFunction	MetricKDE.DEFAULT_KF When estimating the bandwidth, the distances of the k'th nearest neighbors are used to perform the estimate.

Methods in jsat.distributions.multivariate that return KernelFunction

Modifier and Type	Method and Description
KernelFunction	ProductKDE.getKernelFunction()
abstract KernelFunction	MultivariateKDE.getKernelFunction()
KernelFunction	MetricKDE.getKernelFunction()

Methods in jsat.distributions.multivariate with parameters of type KernelFunction

Modifier and Type	Method and Description
void	MetricKDE.setKernelFunction(KernelFunction kf)

Constructors in jsat.distributions.multivariate with parameters of type KernelFunction

Constructor and Description
MetricKDE(KernelFunction kf, DistanceMetric distanceMetric)
MetricKDE(KernelFunction kf, DistanceMetric distanceMetric, VectorCollectionFactory<VecPaired<Vec,Integer>> vcf) Creates a new KDE object that still needs a data set to model the distribution of
MetricKDE(KernelFunction kf, DistanceMetric distanceMetric, VectorCollectionFactory<VecPaired<Vec,Integer>> vcf, int defaultK, double defaultStndDev) Creates a new KDE object that still needs a data set to model the distribution of
ProductKDE(KernelFunction k) Creates a new KDE that uses the specified kernel

Uses of KernelFunction in jsat.parameters

Methods in jsat.parameters that return types with arguments of type KernelFunction

Modifier and Type	Method and Description
List<KernelFunction>	KernelFunctionParameter.parameterOptions()