NerApproach

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

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

def clone(): AnyRef

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

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

val entities: StringArrayParam

Entities to recognize

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 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 getMaxEpochs: Int

Maximum number of epochs to train

def getMinEpochs: Int

Minimum number of epochs to train

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

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

def getRandomSeed: Int

Random seed

def getVerbose: Int

Level of verbosity during training

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 labelColumn: Param[String]

Column with label per each token

val maxEpochs: IntParam

Maximum number of epochs to train

val minEpochs: IntParam

Minimum number of epochs to train

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

lazy val params: Array[Param[_]]

val randomSeed: IntParam

Random seed

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

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

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

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

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

def setEntities(tags: Array[String]): T

Entities to recognize

def setLabelColumn(column: String): T

Column with label per each token

def setMaxEpochs(epochs: Int): T

Maximum number of epochs to train

def setMinEpochs(epochs: Int): T

Minimum number of epochs to train

def setRandomSeed(seed: Int): T

Random seed

def setVerbose(verbose: Level): T

Level of verbosity during training

def setVerbose(verbose: Int): T

Level of verbosity during training

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

def toString(): String

val verbose: IntParam

Level of verbosity during training (Default: Verbose.Silent.id)

final def wait(): Unit

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

final def wait(arg0: Long): Unit