org.apache.ignite.ml.recommendation.util

Class RecommendationDatasetDataBuilder<K,O extends Serializable,S extends Serializable,Z extends ObjectSubjectRatingTriplet<O,S>>

java.lang.Object

org.apache.ignite.ml.recommendation.util.RecommendationDatasetDataBuilder<K,O,S,Z>

Type Parameters:

K - Type of a key in upstream data.

O - Type of an object of recommendation.

S - Type of a subject of recommendation.

Z - Type of object-subject pair.

All Implemented Interfaces:

Serializable, PartitionDataBuilder<K,Z,EmptyContext,RecommendationDatasetData<O,S>>

public class RecommendationDatasetDataBuilder<K,O extends Serializable,S extends Serializable,Z extends ObjectSubjectRatingTriplet<O,S>>
extends Object
implements PartitionDataBuilder<K,Z,EmptyContext,RecommendationDatasetData<O,S>>

A partition data builder that makes SimpleDatasetData.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RecommendationDatasetDataBuilder()

Method Summary

Modifier and Type	Method and Description
RecommendationDatasetData<O,S>	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.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.ignite.ml.dataset.PartitionDataBuilder

andThen, build

Constructor Detail

RecommendationDatasetDataBuilder

public RecommendationDatasetDataBuilder()

Method Detail

build

public RecommendationDatasetData<O,S> 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. Important: there is no guarantee that there will be no more than one UpstreamEntry with given key, UpstreamEntry should be thought rather as a container saving all data from upstream, but omitting uniqueness constraint. This constraint is omitted to allow upstream data transformers in DatasetBuilder replicating entries. For example it can be useful for bootstrapping.

Specified by:

build in interface PartitionDataBuilder<K,Z extends ObjectSubjectRatingTriplet<O,S>,EmptyContext,RecommendationDatasetData<O extends Serializable,S extends Serializable>>

Parameters:

env - Learning environment.

upstreamData - Partition upstream data.

upstreamDataSize - Partition upstream data size.

ctx - Partition context.

Returns:

Partition data.