Package org.neo4j.gds.ml.models.randomforest

Interface RandomForestRegressorTrainerConfig

All Superinterfaces:

DecisionTreeTrainerConfig, RandomForestTrainerConfig, org.neo4j.gds.config.ToMapConvertible, TrainerConfig

@Configuration
public interface RandomForestRegressorTrainerConfig
extends RandomForestTrainerConfig, TrainerConfig

Field Summary

Fields

Modifier and Type	Field	Description
static final RandomForestRegressorTrainerConfig	DEFAULT

Method Summary

Modifier and Type	Method	Description
Collection<String>	configKeys()
default org.neo4j.gds.ml.api.TrainingMethod	method()
static RandomForestRegressorTrainerConfig	of(Map<String,Object> params)
Map<String,Object>	toMap()

Methods inherited from interface org.neo4j.gds.ml.decisiontree.DecisionTreeTrainerConfig

maxDepth, minLeafSize, minSplitSize, validateMinSizes

Methods inherited from interface org.neo4j.gds.ml.models.randomforest.RandomForestTrainerConfig

maxFeaturesRatio, maxFeaturesRatio, numberOfDecisionTrees, numberOfSamplesRatio

Methods inherited from interface org.neo4j.gds.ml.models.TrainerConfig

toMapWithTrainerMethod, toTunableConfig

Field Details

DEFAULT

static final RandomForestRegressorTrainerConfig DEFAULT

Method Details

method

@Ignore
default org.neo4j.gds.ml.api.TrainingMethod method()

Specified by:

method in interface TrainerConfig

of

static RandomForestRegressorTrainerConfig of(Map<String,Object> params)

configKeys

@CollectKeys
Collection<String> configKeys()

toMap

@ToMap
Map<String,Object> toMap()

Specified by:

toMap in interface org.neo4j.gds.config.ToMapConvertible