This function internally uses scikit-learn function GradientBoostingClassifier through teradataml Open source ML functions.
Attributes/Methods
Attribute/Method Name | Supported | Notes |
---|---|---|
clear | ||
copy | ||
evaluationEachIteration | ||
explainParam | ||
explainParams | ||
extractParamMap | ||
getCacheNodeIds | ||
getCheckpointInterval | ||
getFeatureSubsetStrategy | ||
getFeaturesCol | ||
getImpurity | ||
getLabelCol | ||
getLeafCol | ||
getLossType | ||
getMaxBins | ||
getMaxDepth | ||
getMaxIter | ||
getMaxMemoryInMB | ||
getMinInfoGain | ||
getMinInstancesPerNode | ||
getMinWeightFractionPerNode | ||
getOrDefault | ||
getParam | ||
getPredictionCol | ||
getProbabilityCol | ||
getRawPredictionCol | ||
getSeed | ||
getStepSize | ||
getSubsamplingRate | ||
getThresholds | ||
getValidationIndicatorCol | ||
getValidationTol | ||
getWeightCol | ||
hasDefault | ||
hasParam | ||
isDefined | ||
isSet | ||
load | ||
predict | ||
predictLeaf | ||
predictProbability | ||
predictRaw | ||
read | ||
save | ||
set | ||
setFeaturesCol | ||
setLeafCol | ||
setPredictionCol | ||
setProbabilityCol | ||
setRawPredictionCol | ||
setThresholds | ||
transform | ||
write | ||
cacheNodeIds | ||
checkpointInterval | ||
featureSubsetStrategy | ||
featuresCol | ||
getNumTrees | ||
impurity | ||
labelCol | ||
leafCol | ||
lossType | ||
maxBins | ||
maxDepth | ||
maxIter | ||
maxMemoryInMB | ||
minInfoGain | ||
minInstancesPerNode | ||
minWeightFractionPerNode | ||
numClasses | ||
numFeatures | ||
params | ||
predictionCol | ||
probabilityCol | ||
rawPredictionCol | ||
seed | ||
stepSize | ||
subsamplingRate | ||
supportedFeatureSubsetStrategies | ||
supportedImpurities | ||
supportedLossTypes | ||
thresholds | ||
toDebugString | ||
totalNumNodes | ||
treeWeights | ||
trees | ||
validationIndicatorCol | ||
validationTol | ||
weightCol |