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Showing content from https://spark.apache.org/docs/latest/api/scala/org/apache/spark/ml/regression/GBTRegressor.html below:

Spark 4.0.0 ScalaDoc - org.apache.spark.ml.regression.GBTRegressor

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1. Grouped
2. Alphabetic
3. By Inheritance

1. GBTRegressor
2. DefaultParamsWritable
3. MLWritable
4. GBTRegressorParams
5. TreeRegressorParams
6. HasVarianceImpurity
7. TreeEnsembleRegressorParams
8. GBTParams
9. HasValidationIndicatorCol
10. HasStepSize
11. HasMaxIter
12. TreeEnsembleParams
13. DecisionTreeParams
14. HasWeightCol
15. HasSeed
16. HasCheckpointInterval
17. Regressor
18. Predictor
19. PredictorParams
20. HasPredictionCol
21. HasFeaturesCol
22. HasLabelCol
23. Estimator
24. PipelineStage
25. Logging
26. Params
27. Serializable
28. Identifiable
29. AnyRef
30. Any

1. Public
2. Protected

1.  new GBTRegressor()
2.  new GBTRegressor(uid: String)

1.  implicit class LogStringContext extends AnyRef

1.  final def !=(arg0: Any): Boolean
2.  final def ##: Int
3.  final def $[T](param: Param[T]): T
4.  final def ==(arg0: Any): Boolean
5.  final def asInstanceOf[T0]: T0
6.  final val cacheNodeIds: BooleanParam
7.  final val checkpointInterval: IntParam
8.  final def clear(param: Param[_]): GBTRegressor.this.type
9.  def clone(): AnyRef
10.  def copy(extra: ParamMap): GBTRegressor
11.  def copyValues[T <: Params](to: T, extra: ParamMap = ParamMap.empty): T
12.  final def defaultCopy[T <: Params](extra: ParamMap): T
13.  final def eq(arg0: AnyRef): Boolean
14.  def equals(arg0: AnyRef): Boolean
15.  def explainParam(param: Param[_]): String
16.  def explainParams(): String
17.  final def extractParamMap(): ParamMap
18.  final def extractParamMap(extra: ParamMap): ParamMap
19.  final val featureSubsetStrategy: Param[String]
20.  final val featuresCol: Param[String]
21.  def fit(dataset: Dataset[_]): GBTRegressionModel
22.  def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[GBTRegressionModel]
23.  def fit(dataset: Dataset[_], paramMap: ParamMap): GBTRegressionModel
24.  def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): GBTRegressionModel
25.  final def get[T](param: Param[T]): Option[T]
26.  final def getCacheNodeIds: Boolean
27.  final def getCheckpointInterval: Int
28.  final def getClass(): Class[_ <: AnyRef]
29.  final def getDefault[T](param: Param[T]): Option[T]
30.  final def getFeatureSubsetStrategy: String
31.  final def getFeaturesCol: String
32.  final def getImpurity: String
33.  final def getLabelCol: String
34.  final def getLeafCol: String
35.  def getLossType: String
36.  final def getMaxBins: Int
37.  final def getMaxDepth: Int
38.  final def getMaxIter: Int
39.  final def getMaxMemoryInMB: Int
40.  final def getMinInfoGain: Double
41.  final def getMinInstancesPerNode: Int
42.  final def getMinWeightFractionPerNode: Double
43.  final def getOrDefault[T](param: Param[T]): T
44.  def getParam(paramName: String): Param[Any]
45.  final def getPredictionCol: String
46.  final def getSeed: Long
47.  final def getStepSize: Double
48.  final def getSubsamplingRate: Double
49.  final def getValidationIndicatorCol: String
50.  final def getValidationTol: Double
51.  final def getWeightCol: String
52.  final def hasDefault[T](param: Param[T]): Boolean
53.  def hasParam(paramName: String): Boolean
54.  def hashCode(): Int
55.  final val impurity: Param[String]
56.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
57.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
58.  final def isDefined(param: Param[_]): Boolean
59.  final def isInstanceOf[T0]: Boolean
60.  final def isSet(param: Param[_]): Boolean
61.  def isTraceEnabled(): Boolean
62.  final val labelCol: Param[String]
63.  final val leafCol: Param[String]
64.  def log: Logger
65.  def logDebug(msg: => String, throwable: Throwable): Unit
66.  def logDebug(entry: LogEntry, throwable: Throwable): Unit
67.  def logDebug(entry: LogEntry): Unit
68.  def logDebug(msg: => String): Unit
69.  def logError(msg: => String, throwable: Throwable): Unit
70.  def logError(entry: LogEntry, throwable: Throwable): Unit
71.  def logError(entry: LogEntry): Unit
72.  def logError(msg: => String): Unit
73.  def logInfo(msg: => String, throwable: Throwable): Unit
74.  def logInfo(entry: LogEntry, throwable: Throwable): Unit
75.  def logInfo(entry: LogEntry): Unit
76.  def logInfo(msg: => String): Unit
77.  def logName: String
78.  def logTrace(msg: => String, throwable: Throwable): Unit
79.  def logTrace(entry: LogEntry, throwable: Throwable): Unit
80.  def logTrace(entry: LogEntry): Unit
81.  def logTrace(msg: => String): Unit
82.  def logWarning(msg: => String, throwable: Throwable): Unit
83.  def logWarning(entry: LogEntry, throwable: Throwable): Unit
84.  def logWarning(entry: LogEntry): Unit
85.  def logWarning(msg: => String): Unit
86.  val lossType: Param[String]
87.  final val maxBins: IntParam
88.  final val maxDepth: IntParam
89.  final val maxIter: IntParam
90.  final val maxMemoryInMB: IntParam
91.  final val minInfoGain: DoubleParam
92.  final val minInstancesPerNode: IntParam
93.  final val minWeightFractionPerNode: DoubleParam
94.  final def ne(arg0: AnyRef): Boolean
95.  final def notify(): Unit
96.  final def notifyAll(): Unit
97.  lazy val params: Array[Param[_]]
98.  final val predictionCol: Param[String]
99.  def save(path: String): Unit
100.  final val seed: LongParam
101.  final def set(paramPair: ParamPair[_]): GBTRegressor.this.type
102.  final def set(param: String, value: Any): GBTRegressor.this.type
103.  final def set[T](param: Param[T], value: T): GBTRegressor.this.type
104.  def setCacheNodeIds(value: Boolean): GBTRegressor.this.type
105.  def setCheckpointInterval(value: Int): GBTRegressor.this.type
106.  final def setDefault(paramPairs: ParamPair[_]*): GBTRegressor.this.type
107.  final def setDefault[T](param: Param[T], value: T): GBTRegressor.this.type
108.  def setFeatureSubsetStrategy(value: String): GBTRegressor.this.type
109.  def setFeaturesCol(value: String): GBTRegressor
110.  def setImpurity(value: String): GBTRegressor.this.type
111.  def setLabelCol(value: String): GBTRegressor
112.  final def setLeafCol(value: String): GBTRegressor.this.type
113.  def setLossType(value: String): GBTRegressor.this.type
114.  def setMaxBins(value: Int): GBTRegressor.this.type
115.  def setMaxDepth(value: Int): GBTRegressor.this.type
116.  def setMaxIter(value: Int): GBTRegressor.this.type
117.  def setMaxMemoryInMB(value: Int): GBTRegressor.this.type
118.  def setMinInfoGain(value: Double): GBTRegressor.this.type
119.  def setMinInstancesPerNode(value: Int): GBTRegressor.this.type
120.  def setMinWeightFractionPerNode(value: Double): GBTRegressor.this.type
121.  def setPredictionCol(value: String): GBTRegressor
122.  def setSeed(value: Long): GBTRegressor.this.type
123.  def setStepSize(value: Double): GBTRegressor.this.type
124.  def setSubsamplingRate(value: Double): GBTRegressor.this.type
125.  def setValidationIndicatorCol(value: String): GBTRegressor.this.type
126.  def setWeightCol(value: String): GBTRegressor.this.type
127.  final val stepSize: DoubleParam
128.  final val subsamplingRate: DoubleParam
129.  final def synchronized[T0](arg0: => T0): T0
130.  def toString(): String
131.  def train(dataset: Dataset[_]): GBTRegressionModel
132.  def transformSchema(schema: StructType): StructType
133.  def transformSchema(schema: StructType, logging: Boolean): StructType
134.  val uid: String
135.  def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
136.  final val validationIndicatorCol: Param[String]
137.  final val validationTol: DoubleParam
138.  final def wait(arg0: Long, arg1: Int): Unit
139.  final def wait(arg0: Long): Unit
140.  final def wait(): Unit
141.  final val weightCol: Param[String]
142.  def withLogContext(context: Map[String, String])(body: => Unit): Unit
143.  def write: MLWriter

1.  def finalize(): Unit

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