LearningTaskParams

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

final def asInstanceOf[T0]: T0

val baseMarginCol: Param[String]

Initial prediction (aka base margin) column name.

val baseScore: DoubleParam

the initial prediction score of all instances, global bias.

final def clear(param: Param[_]): LearningTaskParams.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

val evalMetric: Param[String]

evaluation metrics for validation data, a default metric will be assigned according to objective(rmse for regression, and error for classification, mean average precision for ranking).

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

def explainParams(): String

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

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]

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

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

val groupData: GroupDataParam

group data specify each group sizes for ranking task.

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

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val numClasses: IntParam

number of tasks to learn

val numEarlyStoppingRounds: IntParam

If non-zero, the training will be stopped after a specified number of consecutive increases in any evaluation metric.

val objective: Param[String]

Specify the learning task and the corresponding learning objective.

lazy val params: Array[Param[_]]

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

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

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

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

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

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

def toString(): String

val trainTestRatio: DoubleParam

Fraction of training points to use for testing.

final def wait(): Unit

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

final def wait(arg0: Long): Unit

val weightCol: Param[String]

Instance weights column name.