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

Class EmptyContextBuilder<K,V>

java.lang.Object

org.apache.ignite.ml.dataset.primitive.builder.context.EmptyContextBuilder<K,V>

Type Parameters:

K - Type of a key in upstream data.

V - Type of a value in upstream data.

All Implemented Interfaces:

Serializable, PartitionContextBuilder<K,V,EmptyContext>

public class EmptyContextBuilder<K,V>
extends Object
implements PartitionContextBuilder<K,V,EmptyContext>

A partition context builder that makes EmptyContext.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
EmptyContextBuilder()

Method Summary

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

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.PartitionContextBuilder

andThen, build

Constructor Detail

EmptyContextBuilder

public EmptyContextBuilder()

Method Detail

build

public EmptyContext build(LearningEnvironment env,
                          Iterator<UpstreamEntry<K,V>> upstreamData,
                          long upstreamDataSize)

Builds a new partition context from an upstream data. 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 PartitionContextBuilder<K,V,EmptyContext>

Parameters:

env - Learning environment.

upstreamData - Partition upstream data.

upstreamDataSize - Partition upstream data size.

Returns:

Partition context.