org.apache.ignite.ml.tree.randomforest

Class RandomForestClassifierTrainer

java.lang.Object

org.apache.ignite.ml.trainers.DatasetTrainer<M,Double>

org.apache.ignite.ml.trainers.SingleLabelDatasetTrainer<ModelsComposition>

org.apache.ignite.ml.tree.randomforest.RandomForestTrainer<ObjectHistogram<BootstrappedVector>,GiniHistogram,RandomForestClassifierTrainer>

org.apache.ignite.ml.tree.randomforest.RandomForestClassifierTrainer

public class RandomForestClassifierTrainer
extends RandomForestTrainer<ObjectHistogram<BootstrappedVector>,GiniHistogram,RandomForestClassifierTrainer>

Classifier trainer based on RandomForest algorithm.

Nested Class Summary

Nested classes/interfaces inherited from class org.apache.ignite.ml.trainers.DatasetTrainer

DatasetTrainer.EmptyDatasetException

Field Summary

Fields inherited from class org.apache.ignite.ml.trainers.DatasetTrainer

envBuilder, environment

Constructor Summary

Constructors

Constructor and Description
RandomForestClassifierTrainer(List<FeatureMeta> meta) Constructs an instance of RandomForestClassifierTrainer.

Method Summary

Modifier and Type	Method and Description
protected ModelsComposition	buildComposition(List<TreeRoot> models) Returns composition of built trees.
protected ImpurityHistogramsComputer<GiniHistogram>	createImpurityHistogramsComputer() Creates an instance of Histograms Computer corresponding to RF implementation.
protected LeafValuesComputer<ObjectHistogram<BootstrappedVector>>	createLeafStatisticsAggregator() Creates an instance of Leaf Statistics Aggregator corresponding to RF implementation.
protected boolean	init(Dataset<EmptyContext,BootstrappedDatasetPartition> dataset) Aggregates all unique labels from dataset and assigns integer id value for each label.
protected RandomForestClassifierTrainer	instance()
RandomForestClassifierTrainer	withEnvironmentBuilder(LearningEnvironmentBuilder envBuilder) Changes learning Environment.

Methods inherited from class org.apache.ignite.ml.tree.randomforest.RandomForestTrainer

fitWithInitializedDeployingContext, initTrees, isUpdateable, updateModel, withAmountOfTrees, withFeaturesCountSelectionStrgy, withMaxDepth, withMinImpurityDelta, withNodesToLearnSelectionStrgy, withSeed, withSubSampleSize

Methods inherited from class org.apache.ignite.ml.trainers.DatasetTrainer

fit, fit, fit, fit, fit, fit, getLastTrainedModelOrThrowEmptyDatasetException, identityTrainer, learningEnvironment, update, update, update, update, update, withConvertedLabels

Methods inherited from class java.lang.Object

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

Constructor Detail

RandomForestClassifierTrainer

public RandomForestClassifierTrainer(List<FeatureMeta> meta)

Constructs an instance of RandomForestClassifierTrainer.

Parameters:

meta - Features meta.

Method Detail

instance

protected RandomForestClassifierTrainer instance()

Specified by:

instance in class RandomForestTrainer<ObjectHistogram<BootstrappedVector>,GiniHistogram,RandomForestClassifierTrainer>

Returns:

an instance of current object with valid type in according to inheritance.

init

protected boolean init(Dataset<EmptyContext,BootstrappedDatasetPartition> dataset)

Aggregates all unique labels from dataset and assigns integer id value for each label. This id can be used as index in arrays or lists.

Overrides:

init in class RandomForestTrainer<ObjectHistogram<BootstrappedVector>,GiniHistogram,RandomForestClassifierTrainer>

Parameters:

dataset - Dataset.

Returns:

true if initialization was done.

buildComposition

protected ModelsComposition buildComposition(List<TreeRoot> models)

Returns composition of built trees.

Specified by:

buildComposition in class RandomForestTrainer<ObjectHistogram<BootstrappedVector>,GiniHistogram,RandomForestClassifierTrainer>

Parameters:

models - Models.

Returns:

composition of built trees.

createImpurityHistogramsComputer

protected ImpurityHistogramsComputer<GiniHistogram> createImpurityHistogramsComputer()

Creates an instance of Histograms Computer corresponding to RF implementation.

Specified by:

createImpurityHistogramsComputer in class RandomForestTrainer<ObjectHistogram<BootstrappedVector>,GiniHistogram,RandomForestClassifierTrainer>

createLeafStatisticsAggregator

protected LeafValuesComputer<ObjectHistogram<BootstrappedVector>> createLeafStatisticsAggregator()

Creates an instance of Leaf Statistics Aggregator corresponding to RF implementation.

Specified by:

createLeafStatisticsAggregator in class RandomForestTrainer<ObjectHistogram<BootstrappedVector>,GiniHistogram,RandomForestClassifierTrainer>

withEnvironmentBuilder

public RandomForestClassifierTrainer withEnvironmentBuilder(LearningEnvironmentBuilder envBuilder)

Changes learning Environment.

Overrides:

withEnvironmentBuilder in class DatasetTrainer<ModelsComposition,Double>

Parameters:

envBuilder - Learning environment builder.