LightGBMParams

abstract def copy(extra: ParamMap): Params

abstract val uid: String

final def !=(arg0: Any): Boolean

final def ##(): Int

final def $[T](param: Param[T]): T

final def ==(arg0: Any): Boolean

def additionalPythonMethods(): String

final def asInstanceOf[T0]: T0

val baggingFraction: DoubleParam

val baggingFreq: IntParam

val baggingSeed: IntParam

val binSampleCount: IntParam

val boostFromAverage: BooleanParam

val boostingType: Param[String]

val categoricalSlotIndexes: IntArrayParam

val categoricalSlotNames: StringArrayParam

final def clear(param: Param[_]): LightGBMParams.this.type

def clone(): AnyRef

def copyValues[T <: Params](to: T, extra: ParamMap): T

final def defaultCopy[T <: Params](extra: ParamMap): T

val defaultListenPort: IntParam

var delegate: Option[LightGBMDelegate]

val driverListenPort: IntParam

val earlyStoppingRound: IntParam

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def explainParam(param: Param[_]): String

def explainParams(): String

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

val featureFraction: DoubleParam

val featuresShapCol: Param[String]

def finalize(): Unit

final def get[T](param: Param[T]): Option[T]

def getBaggingFraction: Double

def getBaggingFreq: Int

def getBaggingSeed: Int

def getBinSampleCount: Int

def getBoostFromAverage: Boolean

def getBoostingType: String

def getCategoricalSlotIndexes: Array[Int]

def getCategoricalSlotNames: Array[String]

final def getClass(): Class[_]

final def getDefault[T](param: Param[T]): Option[T]

def getDefaultListenPort: Int

def getDelegate: Option[LightGBMDelegate]

def getDriverListenPort: Int

def getEarlyStoppingRound: Int

def getFeatureFraction: Double

def getFeaturesShapCol: String

def getImprovementTolerance: Double

def getInitScoreCol: String

def getIsProvideTrainingMetric: Boolean

def getLambdaL1: Double

def getLambdaL2: Double

def getLeafPredictionCol: String

def getLearningRate: Double

def getMaxBin: Int

def getMaxBinByFeature: Array[Int]

def getMaxDeltaStep: Double

def getMaxDepth: Int

def getMetric: String

def getMinDataInLeaf: Int

def getMinGainToSplit: Double

def getMinSumHessianInLeaf: Double

def getModelString: String

def getNegBaggingFraction: Double

def getNumBatches: Int

def getNumIterations: Int

def getNumLeaves: Int

def getNumTasks: Int

def getObjective: String

final def getOrDefault[T](param: Param[T]): T

def getParallelism: String

def getParam(paramName: String): Param[Any]

def getPosBaggingFraction: Double

def getRepartitionByGroupingColumn: Boolean

def getSlotNames: Array[String]

def getTimeout: Double

def getTopK: Int

def getUseBarrierExecutionMode: Boolean

def getValidationIndicatorCol: String

def getVerbosity: Int

def getWeightCol: String

final def hasDefault[T](param: Param[T]): Boolean

def hasParam(paramName: String): Boolean

def hashCode(): Int

val improvementTolerance: DoubleParam

val initScoreCol: Param[String]

The name of the initial score column

final def isDefined(param: Param[_]): Boolean

final def isInstanceOf[T0]: Boolean

val isProvideTrainingMetric: BooleanParam

final def isSet(param: Param[_]): Boolean

val lambdaL1: DoubleParam

val lambdaL2: DoubleParam

val leafPredictionCol: Param[String]

val learningRate: DoubleParam

val maxBin: IntParam

val maxBinByFeature: IntArrayParam

val maxDeltaStep: DoubleParam

val maxDepth: IntParam

val metric: Param[String]

val minDataInLeaf: IntParam

val minGainToSplit: DoubleParam

val minSumHessianInLeaf: DoubleParam

val modelString: Param[String]

final def ne(arg0: AnyRef): Boolean

val negBaggingFraction: DoubleParam

final def notify(): Unit

final def notifyAll(): Unit

val numBatches: IntParam

val numIterations: IntParam

val numLeaves: IntParam

val numTasks: IntParam

val objective: Param[String]

val parallelism: Param[String]

lazy val params: Array[Param[_]]

val posBaggingFraction: DoubleParam

val repartitionByGroupingColumn: BooleanParam

def save(path: String): Unit

final def set(paramPair: ParamPair[_]): LightGBMParams.this.type

final def set(param: String, value: Any): LightGBMParams.this.type

final def set[T](param: Param[T], value: T): LightGBMParams.this.type

def setBaggingFraction(value: Double): LightGBMParams.this.type

def setBaggingFreq(value: Int): LightGBMParams.this.type

def setBaggingSeed(value: Int): LightGBMParams.this.type

def setBinSampleCount(value: Int): LightGBMParams.this.type

def setBoostFromAverage(value: Boolean): LightGBMParams.this.type

def setBoostingType(value: String): LightGBMParams.this.type

def setCategoricalSlotIndexes(value: Array[Int]): LightGBMParams.this.type

def setCategoricalSlotNames(value: Array[String]): LightGBMParams.this.type

final def setDefault(paramPairs: ParamPair[_]*): LightGBMParams.this.type

final def setDefault[T](param: Param[T], value: T): LightGBMParams.this.type

def setDefaultListenPort(value: Int): LightGBMParams.this.type

def setDelegate(delegate: LightGBMDelegate): LightGBMParams.this.type

def setDriverListenPort(value: Int): LightGBMParams.this.type

def setEarlyStoppingRound(value: Int): LightGBMParams.this.type

def setFeatureFraction(value: Double): LightGBMParams.this.type

def setFeaturesShapCol(value: String): LightGBMParams.this.type

def setImprovementTolerance(value: Double): LightGBMParams.this.type

def setInitScoreCol(value: String): LightGBMParams.this.type

def setIsProvideTrainingMetric(value: Boolean): LightGBMParams.this.type

def setLambdaL1(value: Double): LightGBMParams.this.type

def setLambdaL2(value: Double): LightGBMParams.this.type

def setLeafPredictionCol(value: String): LightGBMParams.this.type

def setLearningRate(value: Double): LightGBMParams.this.type

def setMaxBin(value: Int): LightGBMParams.this.type

def setMaxBinByFeature(value: Array[Int]): LightGBMParams.this.type

def setMaxDeltaStep(value: Double): LightGBMParams.this.type

def setMaxDepth(value: Int): LightGBMParams.this.type

def setMetric(value: String): LightGBMParams.this.type

def setMinDataInLeaf(value: Int): LightGBMParams.this.type

def setMinGainToSplit(value: Double): LightGBMParams.this.type

def setMinSumHessianInLeaf(value: Double): LightGBMParams.this.type

def setModelString(value: String): LightGBMParams.this.type

def setNegBaggingFraction(value: Double): LightGBMParams.this.type

def setNumBatches(value: Int): LightGBMParams.this.type

def setNumIterations(value: Int): LightGBMParams.this.type

def setNumLeaves(value: Int): LightGBMParams.this.type

def setNumTasks(value: Int): LightGBMParams.this.type

def setObjective(value: String): LightGBMParams.this.type

def setParallelism(value: String): LightGBMParams.this.type

def setPosBaggingFraction(value: Double): LightGBMParams.this.type

def setRepartitionByGroupingColumn(value: Boolean): LightGBMParams.this.type

def setSlotNames(value: Array[String]): LightGBMParams.this.type

def setTimeout(value: Double): LightGBMParams.this.type

def setTopK(value: Int): LightGBMParams.this.type

def setUseBarrierExecutionMode(value: Boolean): LightGBMParams.this.type

def setValidationIndicatorCol(value: String): LightGBMParams.this.type

def setVerbosity(value: Int): LightGBMParams.this.type

def setWeightCol(value: String): LightGBMParams.this.type

val slotNames: StringArrayParam

final def synchronized[T0](arg0: ⇒ T0): T0

val timeout: DoubleParam

def toString(): String

val topK: IntParam

val useBarrierExecutionMode: BooleanParam

val validationIndicatorCol: Param[String]

The name of the validation indicator column

val verbosity: IntParam

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

val weightCol: Param[String]

The name of the weight column

def write: MLWriter