Uses of Interface
org.apache.ignite.ml.dataset.PartitionContextBuilder

Packages that use PartitionContextBuilder

Package	Description
org.apache.ignite.ml.dataset	Base package for machine learning dataset classes.
org.apache.ignite.ml.dataset.impl.cache	Base package for cache based implementation of machine learning dataset.
org.apache.ignite.ml.dataset.impl.cache.util	Contains util classes used in cache based implementation of dataset.
org.apache.ignite.ml.dataset.impl.local	Base package for local implementation of machine learning dataset.
org.apache.ignite.ml.dataset.primitive.builder.context	Contains partition context builders.

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

Methods in org.apache.ignite.ml.dataset that return PartitionContextBuilder

Modifier and Type	Method and Description
default <C2 extends Serializable> PartitionContextBuilder<K,V,C2>	PartitionContextBuilder.andThen(IgniteFunction<C,C2> fun) Makes a composed partition context builder that first builds a context and then applies the specified function on the result.

Methods in org.apache.ignite.ml.dataset with parameters of type PartitionContextBuilder

Modifier and Type	Method and Description
<C extends Serializable,D extends AutoCloseable> Dataset<C,D>	DatasetBuilder.build(LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder, LearningEnvironment localLearningEnv) Constructs a new instance of Dataset that includes allocation required data structures and initialization of context part of partitions.
static <K,V,C extends Serializable,D extends AutoCloseable> Dataset<C,D>	DatasetFactory.create(DatasetBuilder<K,V> datasetBuilder, LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder, LearningEnvironment environment) Creates a new instance of distributed dataset using the specified partCtxBuilder and partDataBuilder.
static <K,V,C extends Serializable,D extends AutoCloseable> Dataset<C,D>	DatasetFactory.create(DatasetBuilder<K,V> datasetBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder) Creates a new instance of distributed dataset using the specified partCtxBuilder and partDataBuilder.
static <K,V,C extends Serializable,D extends AutoCloseable> Dataset<C,D>	DatasetFactory.create(Ignite ignite, IgniteCache<K,V> upstreamCache, LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder, LearningEnvironment environment) Creates a new instance of distributed dataset using the specified partCtxBuilder and partDataBuilder.
static <K,V,C extends Serializable,D extends AutoCloseable> Dataset<C,D>	DatasetFactory.create(Ignite ignite, IgniteCache<K,V> upstreamCache, PartitionContextBuilder<K,V,C> partCtxBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder) Creates a new instance of distributed dataset using the specified partCtxBuilder and partDataBuilder.
static <K,V,C extends Serializable,D extends AutoCloseable> Dataset<C,D>	DatasetFactory.create(Map<K,V> upstreamMap, LearningEnvironmentBuilder envBuilder, int partitions, PartitionContextBuilder<K,V,C> partCtxBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder, LearningEnvironment environment) Creates a new instance of local dataset using the specified partCtxBuilder and partDataBuilder.
static <K,V,C extends Serializable,CO extends Serializable> SimpleDataset<C>	DatasetFactory.createSimpleDataset(DatasetBuilder<K,V> datasetBuilder, LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, Preprocessor<K,V> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified partCtxBuilder and featureExtractor.
static <K,V,C extends Serializable,CO extends Serializable> SimpleDataset<C>	DatasetFactory.createSimpleDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, Preprocessor<K,V> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified partCtxBuilder and featureExtractor.
static <K,V,C extends Serializable,CO extends Serializable> SimpleDataset<C>	DatasetFactory.createSimpleDataset(Map<K,V> upstreamMap, int partitions, LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, Preprocessor<K,V> featureExtractor) Creates a new instance of local SimpleDataset using the specified partCtxBuilder and featureExtractor.
static <K,V,C extends Serializable,CO extends Serializable> SimpleLabeledDataset<C>	DatasetFactory.createSimpleLabeledDataset(DatasetBuilder<K,V> datasetBuilder, LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, Preprocessor<K,V> vectorizer) Creates a new instance of distributed SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.
static <K,V,C extends Serializable,CO extends Serializable> SimpleLabeledDataset<C>	DatasetFactory.createSimpleLabeledDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, Preprocessor<K,V> vectorizer) Creates a new instance of distributed SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.
static <K,V,C extends Serializable,CO extends Serializable> SimpleLabeledDataset<C>	DatasetFactory.createSimpleLabeledDataset(Map<K,V> upstreamMap, int partitions, LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, Preprocessor<K,V> vectorizer) Creates a new instance of local SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.

Uses of PartitionContextBuilder in org.apache.ignite.ml.dataset.impl.cache

Methods in org.apache.ignite.ml.dataset.impl.cache with parameters of type PartitionContextBuilder

Modifier and Type	Method and Description
<C extends Serializable,D extends AutoCloseable> CacheBasedDataset<K,V,C,D>	CacheBasedDatasetBuilder.build(LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder, LearningEnvironment localLearningEnv) Constructs a new instance of Dataset that includes allocation required data structures and initialization of context part of partitions.

Uses of PartitionContextBuilder in org.apache.ignite.ml.dataset.impl.cache.util

Methods in org.apache.ignite.ml.dataset.impl.cache.util with parameters of type PartitionContextBuilder

Modifier and Type

Method and Description

static <K,V,C extends Serializable> void

ComputeUtils.initContext(Ignite ignite, String upstreamCacheName, UpstreamTransformerBuilder transformerBuilder, IgniteBiPredicate<K,V> filter, String datasetCacheName, PartitionContextBuilder<K,V,C> ctxBuilder, LearningEnvironmentBuilder envBuilder, int retries, int interval, boolean isKeepBinary, DeployingContext deployingContext) Initializes partition context by loading it from a partition upstream.

Uses of PartitionContextBuilder in org.apache.ignite.ml.dataset.impl.local

Methods in org.apache.ignite.ml.dataset.impl.local with parameters of type PartitionContextBuilder

Modifier and Type	Method and Description
<C extends Serializable,D extends AutoCloseable> LocalDataset<C,D>	LocalDatasetBuilder.build(LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder, LearningEnvironment learningEnvironment) Constructs a new instance of Dataset that includes allocation required data structures and initialization of context part of partitions.

Uses of PartitionContextBuilder in org.apache.ignite.ml.dataset.primitive.builder.context

Classes in org.apache.ignite.ml.dataset.primitive.builder.context that implement PartitionContextBuilder

Modifier and Type	Class and Description
class	EmptyContextBuilder<K,V> A partition context builder that makes EmptyContext.