water.bindings.pojos

Class ExtendedIsolationForestParametersV3

java.lang.Object

water.bindings.pojos.SchemaV3

water.bindings.pojos.ModelParametersSchemaV3

water.bindings.pojos.ExtendedIsolationForestParametersV3

public class ExtendedIsolationForestParametersV3
extends ModelParametersSchemaV3

Field Summary

Fields

Modifier and Type	Field and Description
boolean	disableTrainingMetrics Disable calculating training metrics (expensive on large datasets)
int	extensionLevel Maximum is N - 1 (N = numCols).
int	ntrees Number of Extended Isolation Forest trees.
int	sampleSize Number of randomly sampled observations used to train each Extended Isolation Forest tree.
int	scoreTreeInterval Score the model after every so many trees.
long	seed Seed for pseudo random number generator (if applicable)

Fields inherited from class water.bindings.pojos.ModelParametersSchemaV3

aucType, categoricalEncoding, checkpoint, customDistributionFunc, customMetricFunc, distribution, exportCheckpointsDir, foldAssignment, foldColumn, gainsliftBins, huberAlpha, ignoreConstCols, ignoredColumns, keepCrossValidationFoldAssignment, keepCrossValidationModels, keepCrossValidationPredictions, maxCategoricalLevels, maxRuntimeSecs, modelId, nfolds, offsetColumn, parallelizeCrossValidation, quantileAlpha, responseColumn, scoreEachIteration, stoppingMetric, stoppingRounds, stoppingTolerance, trainingFrame, tweediePower, validationFrame, weightsColumn

Constructor Summary

Constructors

Constructor and Description
ExtendedIsolationForestParametersV3() Public constructor

Method Summary

Modifier and Type	Method and Description
java.lang.String	toString() Return the contents of this object as a JSON String.

Methods inherited from class java.lang.Object

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

Field Detail

ntrees

public int ntrees

Number of Extended Isolation Forest trees.

sampleSize

@SerializedName(value="sample_size")
public int sampleSize

Number of randomly sampled observations used to train each Extended Isolation Forest tree.

extensionLevel

@SerializedName(value="extension_level")
public int extensionLevel

Maximum is N - 1 (N = numCols). Minimum is 0. Extended Isolation Forest with extension_Level = 0 behaves like Isolation Forest.

seed

public long seed

Seed for pseudo random number generator (if applicable)

scoreTreeInterval

@SerializedName(value="score_tree_interval")
public int scoreTreeInterval

Score the model after every so many trees. Disabled if set to 0.

disableTrainingMetrics

@SerializedName(value="disable_training_metrics")
public boolean disableTrainingMetrics

Disable calculating training metrics (expensive on large datasets)

Constructor Detail

ExtendedIsolationForestParametersV3

public ExtendedIsolationForestParametersV3()

Public constructor

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class ModelParametersSchemaV3