Uses of Class
jsat.linear.VecPaired

Packages that use VecPaired

Package	Description
jsat.classifiers.knn
jsat.classifiers.neuralnetwork
jsat.clustering
jsat.distributions.multivariate
jsat.linear
jsat.linear.vectorcollection
jsat.linear.vectorcollection.lsh

Uses of VecPaired in jsat.classifiers.knn

Constructor parameters in jsat.classifiers.knn with type arguments of type VecPaired

Constructor and Description
DANN(int kn, int k, double eps, int maxIterations, VectorCollectionFactory<VecPaired<Vec,Integer>> vcf) Creates a new DANN classifier
DANN(int kn, int k, double eps, VectorCollectionFactory<VecPaired<Vec,Integer>> vcf) Creates a new DANN 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, VectorCollectionFactory<VecPaired<Vec,Double>> vcf) Creates a new LWL Regressor
NearestNeighbour(int k, boolean weighted, DistanceMetric distanceMetric, VectorCollectionFactory<VecPaired<Vec,Double>> vcf) Constructs a new Nearest Neighbor Classifier
NearestNeighbour(int k, VectorCollectionFactory<VecPaired<Vec,Double>> vcf) Constructs a new Nearest Neighbor Classifier

Uses of VecPaired in jsat.classifiers.neuralnetwork

Fields in jsat.classifiers.neuralnetwork with type parameters of type VecPaired

Modifier and Type	Field and Description
protected VectorCollection<VecPaired<Vec,Integer>>	LVQ.vc Contains the Learning vectors paired with their index in the weights array

Method parameters in jsat.classifiers.neuralnetwork with type arguments of type VecPaired

Modifier and Type	Method and Description
void	LVQ.setVecCollectionFactory(VectorCollectionFactory<VecPaired<Vec,Integer>> vcf) Sets the vector collection factory to use when storing the final learning vectors

Constructor parameters in jsat.classifiers.neuralnetwork with type arguments of type VecPaired

Constructor and Description
SOM(DistanceMetric dm, int somHeight, int somWeight, VectorCollectionFactory<VecPaired<Vec,Integer>> vcFactory) Creates a new SOM using the given parameters

Uses of VecPaired in jsat.clustering

Method parameters in jsat.clustering with type arguments of type VecPaired

Modifier and Type	Method and Description
void	OPTICS.setVCF(VectorCollectionFactory<VecPaired<Vec,Integer>> vcf) Sets the VectorCollectionFactory used to produce acceleration structures for the OPTICS computation.
void	LSDBC.setVectorCollectionFactory(VectorCollectionFactory<VecPaired<Vec,Integer>> vectorCollectionFactory) Sets the vector collection factory used for acceleration of neighbor searches.
void	FLAME.setVectorCollectionFactory(VectorCollectionFactory<VecPaired<Vec,Integer>> vectorCollectionFactory) Sets the vector collection factory used to accelerate the nearest neighbor search.

Constructor parameters in jsat.clustering with type arguments of type VecPaired

Constructor and Description
DBSCAN(DistanceMetric dm, VectorCollectionFactory<VecPaired<Vec,Integer>> vecFactory)

Uses of VecPaired in jsat.distributions.multivariate

Methods in jsat.distributions.multivariate that return types with arguments of type VecPaired

Modifier and Type	Method and Description
List<VecPaired<VecPaired<Vec,Integer>,Double>>	ProductKDE.getNearby(Vec x)
List<VecPaired<VecPaired<Vec,Integer>,Double>>	ProductKDE.getNearby(Vec x)
abstract List<? extends VecPaired<VecPaired<Vec,Integer>,Double>>	MultivariateKDE.getNearby(Vec x) Returns the list of vectors that have a non zero contribution to the density of the query point x.
abstract List<? extends VecPaired<VecPaired<Vec,Integer>,Double>>	MultivariateKDE.getNearby(Vec x) Returns the list of vectors that have a non zero contribution to the density of the query point x.
List<? extends VecPaired<VecPaired<Vec,Integer>,Double>>	MetricKDE.getNearby(Vec x)
List<? extends VecPaired<VecPaired<Vec,Integer>,Double>>	MetricKDE.getNearby(Vec x)
List<VecPaired<VecPaired<Vec,Integer>,Double>>	ProductKDE.getNearbyRaw(Vec x)
List<VecPaired<VecPaired<Vec,Integer>,Double>>	ProductKDE.getNearbyRaw(Vec x)
abstract List<? extends VecPaired<VecPaired<Vec,Integer>,Double>>	MultivariateKDE.getNearbyRaw(Vec x) Returns the list of vectors that have a non zero contribution to the density of the query point x.
abstract List<? extends VecPaired<VecPaired<Vec,Integer>,Double>>	MultivariateKDE.getNearbyRaw(Vec x) Returns the list of vectors that have a non zero contribution to the density of the query point x.
List<? extends VecPaired<VecPaired<Vec,Integer>,Double>>	MetricKDE.getNearbyRaw(Vec x)
List<? extends VecPaired<VecPaired<Vec,Integer>,Double>>	MetricKDE.getNearbyRaw(Vec x)

Constructor parameters in jsat.distributions.multivariate with type arguments of type VecPaired

Constructor and Description
MetricKDE(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) 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

Uses of VecPaired in jsat.linear

Subclasses of VecPaired in jsat.linear

Modifier and Type	Class and Description
class	VecPairedComparable<V extends Vec,P extends Comparable<P>> Utility class for using VecPaired when the paired value is comparable , and the vectors need to be sorted based on their paired value.

Methods in jsat.linear that return types with arguments of type VecPaired

Modifier and Type	Method and Description
static <V extends Vec,P extends Comparable<P>> Comparator<VecPaired<V,P>>	VecPaired.vecPairedComparator()

Uses of VecPaired in jsat.linear.vectorcollection

Methods in jsat.linear.vectorcollection that return types with arguments of type VecPaired

Modifier and Type	Method and Description
static <V0 extends Vec,V1 extends Vec> List<List<? extends VecPaired<V0,Double>>>	VectorCollectionUtils.allEpsNeighbors(VectorCollection<V0> collection, List<V1> search, double radius, ExecutorService threadpool) Searches the given collection for all the neighbors within a distance of radius for every data point in the given search list.
static <V0 extends Vec,V1 extends Vec> List<List<? extends VecPaired<V0,Double>>>	VectorCollectionUtils.allNearestNeighbors(VectorCollection<V0> collection, List<V1> search, int k) Searches the given collection for the k nearest neighbors for every data point in the given search list.
static <V0 extends Vec,V1 extends Vec> List<List<? extends VecPaired<V0,Double>>>	VectorCollectionUtils.allNearestNeighbors(VectorCollection<V0> collection, List<V1> search, int k, ExecutorService threadpool) Searches the given collection for the k nearest neighbors for every data point in the given search list.
static <V0 extends Vec,V1 extends Vec> List<List<? extends VecPaired<V0,Double>>>	VectorCollectionUtils.allNearestNeighbors(VectorCollection<V0> collection, V1[] search, int k) Searches the given collection for the k nearest neighbors for every data point in the given search list.
static <V0 extends Vec,V1 extends Vec> List<List<? extends VecPaired<V0,Double>>>	VectorCollectionUtils.allNearestNeighbors(VectorCollection<V0> collection, V1[] search, int k, ExecutorService threadpool) Searches the given collection for the k nearest neighbors for every data point in the given search list.
List<? extends VecPaired<V,Double>>	VPTree.search(Vec query, double range)
List<? extends VecPaired<V,Double>>	VectorCollection.search(Vec query, double range) Searches the space for all vectors that are within a given range of the query vector.
List<? extends VecPaired<V,Double>>	VectorArray.search(Vec query, double range)
List<? extends VecPaired<V,Double>>	RTree.search(Vec query, double range)
List<? extends VecPaired<V,Double>>	RandomBallCoverOneShot.search(Vec query, double range)
List<? extends VecPaired<V,Double>>	RandomBallCover.search(Vec query, double range)
List<? extends VecPaired<V,Double>>	KDTree.search(Vec query, double range)
List<? extends VecPaired<V,Double>>	EuclideanCollection.search(Vec query, double range)
List<? extends VecPaired<V,Double>>	CoverTree.search(Vec query, double range)
List<? extends VecPaired<V,Double>>	VPTree.search(Vec query, int neighbors)
List<? extends VecPaired<V,Double>>	VectorCollection.search(Vec query, int neighbors) Searches the space for the k neighbors that are closest to the given query vector
List<? extends VecPaired<V,Double>>	VectorArray.search(Vec query, int neighbors)
List<? extends VecPaired<V,Double>>	RTree.search(Vec query, int neighbors)
List<? extends VecPaired<V,Double>>	RandomBallCoverOneShot.search(Vec query, int neighbors)
List<? extends VecPaired<V,Double>>	RandomBallCover.search(Vec query, int neighbors)
List<? extends VecPaired<V,Double>>	KDTree.search(Vec query, int neighbors)
List<? extends VecPaired<V,Double>>	EuclideanCollection.search(Vec query, int neighbors)
List<? extends VecPaired<V,Double>>	CoverTree.search(Vec query, int neighbors)

Uses of VecPaired in jsat.linear.vectorcollection.lsh

Methods in jsat.linear.vectorcollection.lsh that return types with arguments of type VecPaired

Modifier and Type	Method and Description
List<? extends VecPaired<V,Double>>	RandomProjectionLSH.search(Vec query, double range)
List<? extends VecPaired<V,Double>>	RandomProjectionLSH.search(Vec query, int neighbors)
List<? extends VecPaired<Vec,Double>>	E2LSH.searchR(Vec q) Performs a search for points within the set radius of the query point.
List<? extends VecPaired<Vec,Double>>	E2LSH.searchR(Vec q, boolean approx) Performs a search for points within the set radius of the query point.