public class DRFParametersV3 extends SharedTreeParametersV3
| 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.
|
balanceClasses, buildTreeOneNode, classSamplingFactors, colSampleRateChangePerLevel, colSampleRatePerTree, histogramType, maxAfterBalanceSize, maxConfusionMatrixSize, maxDepth, maxHitRatioK, minRows, minSplitImprovement, nbins, nbinsCats, nbinsTopLevel, ntrees, r2Stopping, sampleRate, sampleRatePerClass, scoreTreeInterval, seedcategoricalEncoding, checkpoint, distribution, foldAssignment, foldColumn, huberAlpha, ignoreConstCols, ignoredColumns, keepCrossValidationFoldAssignment, keepCrossValidationPredictions, maxRuntimeSecs, modelId, nfolds, offsetColumn, parallelizeCrossValidation, quantileAlpha, responseColumn, scoreEachIteration, stoppingMetric, stoppingRounds, stoppingTolerance, trainingFrame, tweediePower, validationFrame, weightsColumn| Constructor and Description |
|---|
DRFParametersV3()
Public constructor
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
public int mtries
public boolean binomialDoubleTrees
public java.lang.String toString()
toString in class SharedTreeParametersV3