water.bindings.pojos

Class DRFParametersV3

java.lang.Object

water.bindings.pojos.SchemaV3

water.bindings.pojos.ModelParametersSchemaV3

water.bindings.pojos.SharedTreeParametersV3

water.bindings.pojos.DRFParametersV3

public class DRFParametersV3
extends SharedTreeParametersV3

Field Summary

Fields

Modifier and Type	Field and Description
boolean	binomialDoubleTrees For binary classification: Build 2x as many trees (one per class) - can lead to higher accuracy.
int	mtries Number of variables randomly sampled as candidates at each split.

Fields inherited from class water.bindings.pojos.SharedTreeParametersV3

balanceClasses, buildTreeOneNode, calibrateModel, calibrationFrame, classSamplingFactors, colSampleRateChangePerLevel, colSampleRatePerTree, histogramType, maxAfterBalanceSize, maxConfusionMatrixSize, maxDepth, maxHitRatioK, minRows, minSplitImprovement, nbins, nbinsCats, nbinsTopLevel, ntrees, r2Stopping, sampleRate, sampleRatePerClass, scoreTreeInterval, seed

Fields inherited from class water.bindings.pojos.ModelParametersSchemaV3

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

Constructor Summary

Constructors

Constructor and Description
DRFParametersV3() 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

mtries

public int mtries

Number of variables randomly sampled as candidates at each split. If set to -1, defaults to sqrt{p} for classification and p/3 for regression (where p is the # of predictors

binomialDoubleTrees

public boolean binomialDoubleTrees

For binary classification: Build 2x as many trees (one per class) - can lead to higher accuracy.

Constructor Detail

DRFParametersV3

public DRFParametersV3()

Public constructor

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class SharedTreeParametersV3