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.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.
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<Double,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<Double,LabeledVector> trainingData) Computes distances between given vector and each vector in training dataset.
protected @NotNull LabeledVector[]	NNClassificationModel.getKClosestVectors(LabeledVectorSet<Double,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<ProbableLabel,LabeledVector>	ANNModelFormat.getCandidates()
LabeledVectorSet<ProbableLabel,LabeledVector>	ANNClassificationModel.getCandidates()

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

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

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

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

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

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

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

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

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.