org.apache.ignite.ml.dataset.primitive.builder.data

Class SimpleLabeledDatasetDataBuilder<K,V,C extends Serializable>

java.lang.Object

org.apache.ignite.ml.dataset.primitive.builder.data.SimpleLabeledDatasetDataBuilder<K,V,C>

Type Parameters:

K - Type of a key in upstream data.

V - Type of a value in upstream data.

C - type of a partition context.

All Implemented Interfaces:

Serializable, PartitionDataBuilder<K,V,C,SimpleLabeledDatasetData>

public class SimpleLabeledDatasetDataBuilder<K,V,C extends Serializable>
extends Object
implements PartitionDataBuilder<K,V,C,SimpleLabeledDatasetData>

A partition data builder that makes SimpleLabeledDatasetData.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
SimpleLabeledDatasetDataBuilder(Preprocessor<K,V> vectorizer) Constructs a new instance of partition data builder that makes SimpleLabeledDatasetData.

Method Summary

Modifier and Type	Method and Description
SimpleLabeledDatasetData	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.

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

SimpleLabeledDatasetDataBuilder

public SimpleLabeledDatasetDataBuilder(Preprocessor<K,V> vectorizer)

Constructs a new instance of partition data builder that makes SimpleLabeledDatasetData.

Parameters:

vectorizer - Function that extracts labeled vectors from an upstream data.

Method Detail

build

public SimpleLabeledDatasetData 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. 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,V,C extends Serializable,SimpleLabeledDatasetData>

Parameters:

env - Learning environment.

upstreamData - Partition upstream data.

upstreamDataSize - Partition upstream data size.

ctx - Partition context.

Returns:

Partition data.