Uses of Class
org.apache.ignite.ml.dataset.UpstreamEntry

Packages that use UpstreamEntry

Package	Description
org.apache.ignite.ml.dataset	Base package for machine learning dataset classes.
org.apache.ignite.ml.dataset.impl.bootstrapping	Base package for bootstrapped implementation of machine learning dataset.
org.apache.ignite.ml.dataset.primitive	Package that contains basic primitives build on top of Dataset.
org.apache.ignite.ml.dataset.primitive.builder.context	Contains partition context builders.
org.apache.ignite.ml.dataset.primitive.builder.data	Contains partition data builders.
org.apache.ignite.ml.knn	Contains main APIs for kNN algorithms.
org.apache.ignite.ml.recommendation.util	Contains util classes used in recommendation system framework.
org.apache.ignite.ml.structures.partition	Contains internal APIs for dataset partitioned labeled datasets.
org.apache.ignite.ml.trainers.transformers	Various upstream transformers.
org.apache.ignite.ml.tree.data	Contains data and data builder required for decision tree trainers built on top of partition based dataset.

Uses of UpstreamEntry in org.apache.ignite.ml.dataset

Methods in org.apache.ignite.ml.dataset that return types with arguments of type UpstreamEntry

Modifier and Type	Method and Description
Stream<UpstreamEntry>	UpstreamTransformer.transform(Stream<UpstreamEntry> upstream) Transform upstream.

Method parameters in org.apache.ignite.ml.dataset with type arguments of type UpstreamEntry

Modifier and Type	Method and Description
C	PartitionContextBuilder.build(LearningEnvironment env, Iterator<UpstreamEntry<K,V>> upstreamData, long upstreamDataSize) Builds a new partition context from an upstream data.
D	PartitionDataBuilder.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.
default C	PartitionContextBuilder.build(LearningEnvironment env, Stream<UpstreamEntry<K,V>> upstreamData, long upstreamDataSize) Builds a new partition context from an upstream data.
default D	PartitionDataBuilder.build(LearningEnvironment env, Stream<UpstreamEntry<K,V>> upstreamData, long upstreamDataSize, C ctx) Builds a new partition data from a partition upstream data and partition context.
Stream<UpstreamEntry>	UpstreamTransformer.transform(Stream<UpstreamEntry> upstream) Transform upstream.

Uses of UpstreamEntry in org.apache.ignite.ml.dataset.impl.bootstrapping

Method parameters in org.apache.ignite.ml.dataset.impl.bootstrapping with type arguments of type UpstreamEntry

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

Uses of UpstreamEntry in org.apache.ignite.ml.dataset.primitive

Method parameters in org.apache.ignite.ml.dataset.primitive with type arguments of type UpstreamEntry

Modifier and Type	Method and Description
FeatureMatrixWithLabelsOnHeapData	FeatureMatrixWithLabelsOnHeapDataBuilder.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 UpstreamEntry in org.apache.ignite.ml.dataset.primitive.builder.context

Method parameters in org.apache.ignite.ml.dataset.primitive.builder.context with type arguments of type UpstreamEntry

Modifier and Type	Method and Description
EmptyContext	EmptyContextBuilder.build(LearningEnvironment env, Iterator<UpstreamEntry<K,V>> upstreamData, long upstreamDataSize) Builds a new partition context from an upstream data.

Uses of UpstreamEntry in org.apache.ignite.ml.dataset.primitive.builder.data

Method parameters in org.apache.ignite.ml.dataset.primitive.builder.data with type arguments of type UpstreamEntry

Modifier and Type	Method and Description
SimpleDatasetData	SimpleDatasetDataBuilder.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.
SimpleLabeledDatasetData	SimpleLabeledDatasetDataBuilder.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 UpstreamEntry in org.apache.ignite.ml.knn

Method parameters in org.apache.ignite.ml.knn with type arguments of type UpstreamEntry

Modifier and Type	Method and Description
SpatialIndex<Double>	KNNPartitionDataBuilder.build(LearningEnvironment env, Iterator<UpstreamEntry<K,V>> upstreamData, long upstreamDataSize, EmptyContext ctx) Builds a new partition data from a partition upstream data and partition context.

Uses of UpstreamEntry in org.apache.ignite.ml.recommendation.util

Method parameters in org.apache.ignite.ml.recommendation.util with type arguments of type UpstreamEntry

Modifier and Type	Method and Description
RecommendationDatasetData<O,S>	RecommendationDatasetDataBuilder.build(LearningEnvironment env, Iterator<UpstreamEntry<K,Z>> upstreamData, long upstreamDataSize, EmptyContext ctx) Builds a new partition data from a partition upstream data and partition context.
RecommendationDatasetData<Serializable,Serializable>	RecommendationBinaryDatasetDataBuilder.build(LearningEnvironment env, Iterator<UpstreamEntry<Object,BinaryObject>> upstreamData, long upstreamDataSize, EmptyContext ctx) Builds a new partition data from a partition upstream data and partition context.

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

Method parameters in org.apache.ignite.ml.structures.partition with type arguments of type UpstreamEntry

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.
LabelPartitionDataOnHeap	LabelPartitionDataBuilderOnHeap.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 UpstreamEntry in org.apache.ignite.ml.trainers.transformers

Methods in org.apache.ignite.ml.trainers.transformers that return types with arguments of type UpstreamEntry

Modifier and Type	Method and Description
Stream<UpstreamEntry>	BaggingUpstreamTransformer.transform(Stream<UpstreamEntry> upstream) Transform upstream.

Method parameters in org.apache.ignite.ml.trainers.transformers with type arguments of type UpstreamEntry

Modifier and Type	Method and Description
Stream<UpstreamEntry>	BaggingUpstreamTransformer.transform(Stream<UpstreamEntry> upstream) Transform upstream.

Uses of UpstreamEntry in org.apache.ignite.ml.tree.data

Method parameters in org.apache.ignite.ml.tree.data with type arguments of type UpstreamEntry

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