org.apache.ignite.ml.dataset.primitive

Class FeatureMatrixWithLabelsOnHeapDataBuilder<K,V,C extends Serializable,CO extends Serializable>

java.lang.Object

org.apache.ignite.ml.dataset.primitive.FeatureMatrixWithLabelsOnHeapDataBuilder<K,V,C,CO>

Type Parameters:

K - Type of a key in upstream data.

V - Type of a value in upstream data.

C - Type of a partition context.

CO - Typer of COordinate for vectorizer.

All Implemented Interfaces:

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

public class FeatureMatrixWithLabelsOnHeapDataBuilder<K,V,C extends Serializable,CO extends Serializable>
extends Object
implements PartitionDataBuilder<K,V,C,FeatureMatrixWithLabelsOnHeapData>

A partition data builder that makes DecisionTreeData.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
FeatureMatrixWithLabelsOnHeapDataBuilder(Preprocessor<K,V> preprocessor) Constructs a new instance of decision tree data builder.

Method Summary

Modifier and Type	Method and Description
FeatureMatrixWithLabelsOnHeapData	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

FeatureMatrixWithLabelsOnHeapDataBuilder

public FeatureMatrixWithLabelsOnHeapDataBuilder(Preprocessor<K,V> preprocessor)

Constructs a new instance of decision tree data builder.

Parameters:

preprocessor - Function that extracts features with labels from an upstream data.

Method Detail

build

public FeatureMatrixWithLabelsOnHeapData 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,FeatureMatrixWithLabelsOnHeapData>

Parameters:

env - Learning environment.

upstreamData - Partition upstream data.

upstreamDataSize - Partition upstream data size.

ctx - Partition context.

Returns:

Partition data.