VowpalWabbitContextualBanditBase

abstract def copy(extra: ParamMap): Params

abstract def featuresCol: Param[String]

abstract def getFeaturesCol: String

abstract def getLabelCol: String

abstract def labelCol: Param[String]

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 addExtraArgs(args: StringBuilder): Unit

* Allow subclasses to add further arguments

val additionalFeatures: StringArrayParam

def additionalPythonMethods(): String

val additionalSharedFeatures: StringArrayParam

val args: Param[String]

final def asInstanceOf[T0]: T0

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

def clone(): AnyRef

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

def createLabelSetter(schema: StructType): (Row, VowpalWabbitExample) ⇒ Unit

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 finalize(): Unit

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

def getAdditionalColumns(): Seq[String]

def getAdditionalFeatures: Array[String]

def getAdditionalSharedFeatures: Array[String]

def getArgs: String

def getAsFloat(schema: StructType, idx: Int): (Row) ⇒ Float

final def getClass(): Class[_]

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

def getHashSeed: Int

def getIgnoreNamespaces: String

def getInitialModel: Array[Byte]

def getInteractions: Array[String]

def getL1: Double

def getL2: Double

def getLearningRate: Double

def getNumBits: Int

def getNumPasses: Int

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

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

def getPowerT: Double

def getSharedCol: String

def getUseBarrierExecutionMode: Boolean

def getWeightCol: String

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

def hasParam(paramName: String): Boolean

def hashCode(): Int

val hashSeed: IntParam

val ignoreNamespaces: Param[String]

val initialModel: ByteArrayParam

def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

val interactions: StringArrayParam

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

final def isInstanceOf[T0]: Boolean

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

def isTraceEnabled(): Boolean

val l1: DoubleParam

val l2: DoubleParam

val learningRate: DoubleParam

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit

def logWarning(msg: ⇒ String): Unit

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val numBits: IntParam

val numPasses: IntParam

lazy val params: Array[Param[_]]

val powerT: DoubleParam

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

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

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

def setAdditionalFeatures(value: Array[String]): VowpalWabbitContextualBanditBase.this.type

def setAdditionalSharedFeatures(value: Array[String]): VowpalWabbitContextualBanditBase.this.type

def setArgs(value: String): VowpalWabbitContextualBanditBase.this.type

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

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

def setHashSeed(value: Int): VowpalWabbitContextualBanditBase.this.type

def setIgnoreNamespaces(value: String): VowpalWabbitContextualBanditBase.this.type

def setInitialModel(value: Array[Byte]): VowpalWabbitContextualBanditBase.this.type

def setInteractions(value: Array[String]): VowpalWabbitContextualBanditBase.this.type

def setL1(value: Double): VowpalWabbitContextualBanditBase.this.type

def setL2(value: Double): VowpalWabbitContextualBanditBase.this.type

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

def setNumBits(value: Int): VowpalWabbitContextualBanditBase.this.type

def setNumPasses(value: Int): VowpalWabbitContextualBanditBase.this.type

def setPowerT(value: Double): VowpalWabbitContextualBanditBase.this.type

def setSharedCol(value: String): VowpalWabbitContextualBanditBase.this.type

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

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

val sharedCol: Param[String]

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

def toString(): String

def trainInternal[T <: VowpalWabbitBaseModel](dataset: Dataset[_], model: T): T

Main training loop

def trainInternalDistributed(df: DataFrame, vwArgs: StringBuilder, numTasks: Int): Array[TrainingResult]

Setup spanning tree and invoke training.

def trainRow(schema: StructType, inputRows: Iterator[Row], ctx: TrainContext): Unit

val useBarrierExecutionMode: BooleanParam

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