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

Packages that use LabeledVectorSet

Package	Description
org.apache.ignite.ml.knn	Contains main APIs for kNN algorithms.
org.apache.ignite.ml.knn.ann	Contains main APIs for ANN classification algorithms.
org.apache.ignite.ml.knn.utils	Contains util functionality for kNN 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.
org.apache.ignite.ml.structures.preprocessing	Contains internal APIs for dataset pre-processing.

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

Methods in org.apache.ignite.ml.knn that return LabeledVectorSet

Modifier and Type	Method and Description
protected LabeledVectorSet<LabeledVector>	NNClassificationModel.buildLabeledDatasetOnListOfVectors(List<LabeledVector> neighborsFromPartitions)

Methods in org.apache.ignite.ml.knn with parameters of type LabeledVectorSet

Modifier and Type	Method and Description
protected @NotNull TreeMap<Double,Set<Integer>>	NNClassificationModel.getDistances(Vector v, LabeledVectorSet<LabeledVector<Double>> trainingData) Computes distances between given vector and each vector in training dataset.
protected @NotNull LabeledVector[]	NNClassificationModel.getKClosestVectors(LabeledVectorSet<LabeledVector> trainingData, TreeMap<Double,Set<Integer>> distanceIdxPairs) Iterates along entries in distance map and fill the resulting k-element array.

Uses of LabeledVectorSet in org.apache.ignite.ml.knn.ann

Methods in org.apache.ignite.ml.knn.ann that return LabeledVectorSet

Modifier and Type	Method and Description
LabeledVectorSet<LabeledVector>	ANNModelFormat.getCandidates()
LabeledVectorSet<LabeledVector>	ANNClassificationModel.getCandidates()

Constructors in org.apache.ignite.ml.knn.ann with parameters of type LabeledVectorSet

Constructor and Description
ANNClassificationModel(LabeledVectorSet<LabeledVector> centers, ANNClassificationTrainer.CentroidStat centroindsStat) Build the model based on a candidates set.
ANNModelFormat(int k, DistanceMeasure distanceMeasure, boolean weighted, LabeledVectorSet<LabeledVector> candidates, ANNClassificationTrainer.CentroidStat candidatesStat) Creates an instance.

Uses of LabeledVectorSet in org.apache.ignite.ml.knn.utils

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

Modifier and Type	Method and Description
static <K,V,C extends Serializable> Dataset<EmptyContext,LabeledVectorSet<LabeledVector>>	KNNUtils.buildDataset(LearningEnvironmentBuilder envBuilder, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> vectorizer) Builds dataset.

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

Methods in org.apache.ignite.ml.structures that return LabeledVectorSet

Modifier and Type	Method and Description
LabeledVectorSet	LabeledVectorSet.copy() Makes copy with new Label objects and old features and Metadata objects.
LabeledVectorSet	LabeledVectorSetTestTrainPair.test() Test subset of the whole dataset.
LabeledVectorSet	LabeledVectorSetTestTrainPair.train() Train subset of the whole dataset.

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

Constructor and Description
LabeledVectorSetTestTrainPair(LabeledVectorSet dataset, double testPercentage) Creates two subsets of given dataset.

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

Methods in org.apache.ignite.ml.structures.partition that return LabeledVectorSet

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

Uses of LabeledVectorSet in org.apache.ignite.ml.structures.preprocessing

Methods in org.apache.ignite.ml.structures.preprocessing that return LabeledVectorSet

Modifier and Type	Method and Description
static LabeledVectorSet	LabeledDatasetLoader.loadFromTxtFile(Path pathToFile, String separator, boolean isDistributed, boolean isFallOnBadData) Datafile should keep class labels in the first column.