LightGBMModelMethods

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

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

def clone(): AnyRef

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

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

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

def featuresShap(features: Vector): Vector

Protected method to predict local SHAP feature importance values for an instance.

def finalize(): Unit

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

final def getClass(): Class[_]

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

def getDenseFeatureShaps(features: Array[Double]): Array[Double]

Public method for pyspark API to get the dense local SHAP feature importance values for an instance.

def getFeatureImportances(importanceType: String): Array[Double]

Public method to get the global feature importance values.

def getFeatureShaps(features: Vector): Array[Double]

Public method to get the vector local SHAP feature importance values for an instance.

def getLightGBMBooster: LightGBMBooster

def getModel: LightGBMBooster

Alias for same method

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

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

def getSparseFeatureShaps(size: Int, indices: Array[Int], values: Array[Double]): Array[Double]

Public method for pyspark API to get the sparse local SHAP feature importance values for an instance.

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

def hasParam(paramName: String): Boolean

def hashCode(): Int

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

final def isInstanceOf[T0]: Boolean

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

val lightGBMBooster: LightGBMBoosterParam

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

lazy val params: Array[Param[_]]

def predictLeaf(features: Vector): Vector

Protected method to predict leaf index.

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

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

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

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

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

def setLightGBMBooster(value: LightGBMBooster): LightGBMModelMethods.this.type

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit