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

Packages that use LabeledDataset

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.
org.apache.ignite.ml.structures.preprocessing	Contains internal APIs for dataset pre-processing.

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

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

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 LabeledDataset in org.apache.ignite.ml.knn.classification

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

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

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

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

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

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

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

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

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

Constructor and Description
LabeledDatasetTestTrainPair(LabeledDataset dataset, double testPercentage) Creates two subsets of given dataset.

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

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

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

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

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

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