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 |