public class GBMParametersV3 extends SharedTreeParametersV3
| Modifier and Type | Field and Description |
|---|---|
double |
colSampleRate
Column sample rate (from 0.0 to 1.0)
|
double |
learnRate
Learning rate (from 0.0 to 1.0)
|
double |
learnRateAnnealing
Scale the learning rate by this factor after each tree (e.g., 0.99 or 0.999)
|
double |
maxAbsLeafnodePred
Maximum absolute value of a leaf node prediction
|
double |
predNoiseBandwidth
Bandwidth (sigma) of Gaussian multiplicative noise ~N(1,sigma) for tree node predictions
|
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 |
|---|
GBMParametersV3()
Public constructor
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
public double learnRate
public double learnRateAnnealing
public double colSampleRate
public double maxAbsLeafnodePred
public double predNoiseBandwidth
public java.lang.String toString()
toString in class SharedTreeParametersV3