Uses of Class
org.apache.ignite.ml.structures.LabeledVector

Packages that use LabeledVector

Package	Description
org.apache.ignite.ml.knn	Contains main APIs for kNN algorithms.
org.apache.ignite.ml.knn.classification	Contains main APIs for kNN classification algorithms.
org.apache.ignite.ml.knn.regression	Contains helper classes for kNN regression algorithms.
org.apache.ignite.ml.structures	Contains some internal utility structures.
org.apache.ignite.ml.structures.partition	Contains internal APIs for dataset partitioned labeled datasets.

Uses of LabeledVector in org.apache.ignite.ml.knn

Methods in org.apache.ignite.ml.knn that return types with arguments of type LabeledVector

Modifier and Type	Method and Description
static <K,V> Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>>	KNNUtils.buildDataset(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Builds dataset.

Uses of LabeledVector in org.apache.ignite.ml.knn.classification

Methods in org.apache.ignite.ml.knn.classification that return types with arguments of type LabeledVector

Modifier and Type	Method and Description
protected List<LabeledVector>	KNNClassificationModel.findKNearestNeighbors(Vector v) The main idea is calculation all distance pairs between given vector and all vectors in training set, sorting them and finding k vectors with min distance with the given vector.

Constructor parameters in org.apache.ignite.ml.knn.classification with type arguments of type LabeledVector

Constructor and Description
KNNClassificationModel(Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>> dataset) Builds the model via prepared dataset.

Uses of LabeledVector in org.apache.ignite.ml.knn.regression

Constructor parameters in org.apache.ignite.ml.knn.regression with type arguments of type LabeledVector

Constructor and Description
KNNRegressionModel(Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>> dataset) Builds the model via prepared dataset.

Uses of LabeledVector in org.apache.ignite.ml.structures

Classes in org.apache.ignite.ml.structures with type parameters of type LabeledVector

Modifier and Type	Class and Description
class	LabeledDataset<L,Row extends LabeledVector> Class for set of labeled vectors.

Subclasses of LabeledVector in org.apache.ignite.ml.structures

Modifier and Type	Class and Description
class	LabeledVectorDouble<V extends Vector> Labeled vector specialized to double label.

Constructors in org.apache.ignite.ml.structures with parameters of type LabeledVector

Constructor and Description
LabeledDataset(Row[] data) Creates new Labeled Dataset by given data.
LabeledDataset(Row[] data, int colSize) Creates new Labeled Dataset by given data.

Uses of LabeledVector in org.apache.ignite.ml.structures.partition

Methods in org.apache.ignite.ml.structures.partition that return types with arguments of type LabeledVector

Modifier and Type	Method and Description
LabeledDataset<Double,LabeledVector>	LabeledDatasetPartitionDataBuilderOnHeap.build(Iterator<UpstreamEntry<K,V>> upstreamData, long upstreamDataSize, C ctx) Builds a new partition data from a partition upstream data and partition context