TrainingParamsTrait

Abstract Value Members

abstract def copy(extra: ParamMap): Params

Definition Classes
Params
abstract val uid: String

Definition Classes
Identifiable

Concrete Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def $[T](param: Param[T]): T

Attributes
protected
Definition Classes
Params
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final val allowConstLabel: BooleanParam
final val allowWritingFiles: BooleanParam
final val approxOnFullHistory: BooleanParam
final def asInstanceOf[T0]: T0

Definition Classes
Any
final val baggingTemperature: FloatParam
final val bestModelMinTrees: IntParam
final val bootstrapType: EnumParam[EBootstrapType]
final val borderCount: IntParam

Definition Classes
QuantizationParamsTrait
final def clear(param: Param[_]): TrainingParamsTrait.this.type

Definition Classes
Params
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def copyValues[T <: Params](to: T, extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final val customMetric: StringArrayParam
final def defaultCopy[T <: Params](extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final val depth: IntParam
final val diffusionTemperature: FloatParam
final val earlyStoppingRounds: IntParam
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final val evalMetric: Param[String]
def explainParam(param: Param[_]): String

Definition Classes
Params
def explainParams(): String

Definition Classes
Params
final def extractParamMap(): ParamMap

Definition Classes
Params
final def extractParamMap(extra: ParamMap): ParamMap

Definition Classes
Params
final val featureBorderType: EnumParam[EBorderSelectionType]

Definition Classes
QuantizationParamsTrait
final val featureWeightsList: DoubleArrayParam
final val featureWeightsMap: OrderedStringMapParam[Double]
final val featuresCol: Param[String]

Definition Classes
HasFeaturesCol
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final val firstFeatureUsePenaltiesList: DoubleArrayParam
final val firstFeatureUsePenaltiesMap: OrderedStringMapParam[Double]
final val foldLenMultiplier: FloatParam
final val foldPermutationBlock: IntParam
final def get[T](param: Param[T]): Option[T]

Definition Classes
Params
final def getAllowConstLabel: Boolean
final def getAllowWritingFiles: Boolean
final def getApproxOnFullHistory: Boolean
final def getBaggingTemperature: Float
final def getBestModelMinTrees: Int
final def getBootstrapType: EBootstrapType
final def getBorderCount: Int

Definition Classes
QuantizationParamsTrait
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
final def getCustomMetric: Array[String]
final def getDefault[T](param: Param[T]): Option[T]

Definition Classes
Params
final def getDepth: Int
final def getDiffusionTemperature: Float
final def getEarlyStoppingRounds: Int
final def getEvalMetric: String
final def getFeatureBorderType: EBorderSelectionType

Definition Classes
QuantizationParamsTrait
final def getFeatureWeightsList: Array[Double]
final def getFeatureWeightsMap: LinkedHashMap[String, Double]
final def getFeaturesCol: String

Definition Classes
HasFeaturesCol
final def getFirstFeatureUsePenaltiesList: Array[Double]
final def getFirstFeatureUsePenaltiesMap: LinkedHashMap[String, Double]
final def getFoldLenMultiplier: Float
final def getFoldPermutationBlock: Int
final def getHasTime: Boolean
final def getIgnoredFeaturesIndices: Array[Int]

Definition Classes
IgnoredFeaturesParams
final def getIgnoredFeaturesNames: Array[String]

Definition Classes
IgnoredFeaturesParams
final def getInputBorders: String

Definition Classes
QuantizationParamsTrait
final def getIterations: Int
final def getL2LeafReg: Float
final def getLabelCol: String

Definition Classes
HasLabelCol
final def getLeafEstimationBacktracking: ELeavesEstimationStepBacktracking
final def getLeafEstimationIterations: Int
final def getLeafEstimationMethod: ELeavesEstimation
final def getLearningRate: Float
final def getLoggingLevel: ELoggingLevel
final def getLossFunction: String
final def getMetricPeriod: Int
final def getModelShrinkMode: EModelShrinkMode
final def getModelShrinkRate: Float
final def getMvsReg: Float
final def getNanMode: ENanMode

Definition Classes
QuantizationParamsTrait
final def getOdPval: Float
final def getOdType: EOverfittingDetectorType
final def getOdWait: Int
final def getOneHotMaxSize: Int
final def getOrDefault[T](param: Param[T]): T

Definition Classes
Params
def getParam(paramName: String): Param[Any]

Definition Classes
Params
final def getPenaltiesCoefficient: Float
final def getPerFloatFeatureQuantizaton: Array[String]

Definition Classes
QuantizationParamsTrait
final def getPerObjectFeaturePenaltiesList: Array[Double]
final def getPerObjectFeaturePenaltiesMap: LinkedHashMap[String, Double]
final def getRandomSeed: Int
final def getRandomStrength: Float
final def getRsm: Float
final def getSamplingFrequency: ESamplingFrequency
final def getSamplingUnit: ESamplingUnit
final def getSaveSnapshot: Boolean
final def getScoreFunction: EScoreFunction
final def getSnapshotFile: String
final def getSnapshotInterval: Duration
final def getSparkPartitionCount: Int
final def getSubsample: Float
final def getThreadCount: Int

Definition Classes
ThreadCountParams
final def getTrainDir: String
final def getUseBestModel: Boolean
final def getWeightCol: String

Definition Classes
HasWeightCol
final def getWorkerInitializationTimeout: Duration
final def hasDefault[T](param: Param[T]): Boolean

Definition Classes
Params
def hasParam(paramName: String): Boolean

Definition Classes
Params
final val hasTime: BooleanParam
def hashCode(): Int

Definition Classes
AnyRef → Any
final val ignoredFeaturesIndices: IntArrayParam

Definition Classes
IgnoredFeaturesParams
final val ignoredFeaturesNames: StringArrayParam

Definition Classes
IgnoredFeaturesParams
final val inputBorders: Param[String]

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

Definition Classes
Params
final def isInstanceOf[T0]: Boolean

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

Definition Classes
Params
final val iterations: IntParam
final val l2LeafReg: FloatParam
final val labelCol: Param[String]

Definition Classes
HasLabelCol
final val leafEstimationBacktracking: EnumParam[ELeavesEstimationStepBacktracking]
final val leafEstimationIterations: IntParam
final val leafEstimationMethod: EnumParam[ELeavesEstimation]
final val learningRate: FloatParam
final val loggingLevel: EnumParam[ELoggingLevel]
final val lossFunction: Param[String]
final val metricPeriod: IntParam
final val modelShrinkMode: EnumParam[EModelShrinkMode]
final val modelShrinkRate: FloatParam
final val mvsReg: FloatParam
final val nanMode: EnumParam[ENanMode]

Definition Classes
QuantizationParamsTrait
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
final val odPval: FloatParam
final val odType: EnumParam[EOverfittingDetectorType]
final val odWait: IntParam
final val oneHotMaxSize: IntParam
lazy val params: Array[Param[_]]

Definition Classes
Params
final val penaltiesCoefficient: FloatParam
final val perFloatFeatureQuantizaton: StringArrayParam

Definition Classes
QuantizationParamsTrait
final val perObjectFeaturePenaltiesList: DoubleArrayParam
final val perObjectFeaturePenaltiesMap: OrderedStringMapParam[Double]
final val randomSeed: IntParam
final val randomStrength: FloatParam
final val rsm: FloatParam
final val samplingFrequency: EnumParam[ESamplingFrequency]
final val samplingUnit: EnumParam[ESamplingUnit]
final val saveSnapshot: BooleanParam
final val scoreFunction: EnumParam[EScoreFunction]
final def set(paramPair: ParamPair[_]): TrainingParamsTrait.this.type

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): TrainingParamsTrait.this.type

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): TrainingParamsTrait.this.type

Definition Classes
Params
final def setAllowConstLabel(value: Boolean): TrainingParamsTrait.this.type
final def setAllowWritingFiles(value: Boolean): TrainingParamsTrait.this.type
final def setApproxOnFullHistory(value: Boolean): TrainingParamsTrait.this.type
final def setBaggingTemperature(value: Float): TrainingParamsTrait.this.type
final def setBestModelMinTrees(value: Int): TrainingParamsTrait.this.type
final def setBootstrapType(value: EBootstrapType): TrainingParamsTrait.this.type
final def setBorderCount(value: Int): TrainingParamsTrait.this.type

Definition Classes
QuantizationParamsTrait
final def setCustomMetric(value: Array[String]): TrainingParamsTrait.this.type
final def setDefault(paramPairs: ParamPair[_]*): TrainingParamsTrait.this.type

Attributes
protected
Definition Classes
Params
final def setDefault[T](param: Param[T], value: T): TrainingParamsTrait.this.type

Attributes
protected
Definition Classes
Params
final def setDepth(value: Int): TrainingParamsTrait.this.type
final def setDiffusionTemperature(value: Float): TrainingParamsTrait.this.type
final def setEarlyStoppingRounds(value: Int): TrainingParamsTrait.this.type
final def setEvalMetric(value: String): TrainingParamsTrait.this.type
final def setFeatureBorderType(value: EBorderSelectionType): TrainingParamsTrait.this.type

Definition Classes
QuantizationParamsTrait
final def setFeatureWeightsList(value: Array[Double]): TrainingParamsTrait.this.type
final def setFeatureWeightsMap(value: LinkedHashMap[String, Double]): TrainingParamsTrait.this.type
final def setFirstFeatureUsePenaltiesList(value: Array[Double]): TrainingParamsTrait.this.type
final def setFirstFeatureUsePenaltiesMap(value: LinkedHashMap[String, Double]): TrainingParamsTrait.this.type
final def setFoldLenMultiplier(value: Float): TrainingParamsTrait.this.type
final def setFoldPermutationBlock(value: Int): TrainingParamsTrait.this.type
final def setHasTime(value: Boolean): TrainingParamsTrait.this.type
final def setIgnoredFeaturesIndices(value: Array[Int]): TrainingParamsTrait.this.type

Definition Classes
IgnoredFeaturesParams
final def setIgnoredFeaturesNames(value: Array[String]): TrainingParamsTrait.this.type

Definition Classes
IgnoredFeaturesParams
final def setInputBorders(value: String): TrainingParamsTrait.this.type

Definition Classes
QuantizationParamsTrait
final def setIterations(value: Int): TrainingParamsTrait.this.type
final def setL2LeafReg(value: Float): TrainingParamsTrait.this.type
final def setLeafEstimationBacktracking(value: ELeavesEstimationStepBacktracking): TrainingParamsTrait.this.type
final def setLeafEstimationIterations(value: Int): TrainingParamsTrait.this.type
final def setLeafEstimationMethod(value: ELeavesEstimation): TrainingParamsTrait.this.type
final def setLearningRate(value: Float): TrainingParamsTrait.this.type
final def setLoggingLevel(value: ELoggingLevel): TrainingParamsTrait.this.type
final def setLossFunction(value: String): TrainingParamsTrait.this.type
final def setMetricPeriod(value: Int): TrainingParamsTrait.this.type
final def setModelShrinkMode(value: EModelShrinkMode): TrainingParamsTrait.this.type
final def setModelShrinkRate(value: Float): TrainingParamsTrait.this.type
final def setMvsReg(value: Float): TrainingParamsTrait.this.type
final def setNanMode(value: ENanMode): TrainingParamsTrait.this.type

Definition Classes
QuantizationParamsTrait
final def setOdPval(value: Float): TrainingParamsTrait.this.type
final def setOdType(value: EOverfittingDetectorType): TrainingParamsTrait.this.type
final def setOdWait(value: Int): TrainingParamsTrait.this.type
final def setOneHotMaxSize(value: Int): TrainingParamsTrait.this.type
final def setPenaltiesCoefficient(value: Float): TrainingParamsTrait.this.type
final def setPerFloatFeatureQuantizaton(value: Array[String]): TrainingParamsTrait.this.type

Definition Classes
QuantizationParamsTrait
final def setPerObjectFeaturePenaltiesList(value: Array[Double]): TrainingParamsTrait.this.type
final def setPerObjectFeaturePenaltiesMap(value: LinkedHashMap[String, Double]): TrainingParamsTrait.this.type
final def setRandomSeed(value: Int): TrainingParamsTrait.this.type
final def setRandomStrength(value: Float): TrainingParamsTrait.this.type
final def setRsm(value: Float): TrainingParamsTrait.this.type
final def setSamplingFrequency(value: ESamplingFrequency): TrainingParamsTrait.this.type
final def setSamplingUnit(value: ESamplingUnit): TrainingParamsTrait.this.type
final def setSaveSnapshot(value: Boolean): TrainingParamsTrait.this.type
final def setScoreFunction(value: EScoreFunction): TrainingParamsTrait.this.type
final def setSnapshotFile(value: String): TrainingParamsTrait.this.type
final def setSnapshotInterval(value: Duration): TrainingParamsTrait.this.type
final def setSparkPartitionCount(value: Int): TrainingParamsTrait.this.type
final def setSubsample(value: Float): TrainingParamsTrait.this.type
final def setThreadCount(value: Int): TrainingParamsTrait.this.type

Definition Classes
ThreadCountParams
final def setTrainDir(value: String): TrainingParamsTrait.this.type
final def setUseBestModel(value: Boolean): TrainingParamsTrait.this.type
final def setWorkerInitializationTimeout(value: Duration): TrainingParamsTrait.this.type
final val snapshotFile: Param[String]
final val snapshotInterval: DurationParam
final val sparkPartitionCount: IntParam
final val subsample: FloatParam
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
final val threadCount: IntParam

Definition Classes
ThreadCountParams
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
final val trainDir: Param[String]
final val useBestModel: BooleanParam
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final val weightCol: Param[String]

Definition Classes
HasWeightCol
final val workerInitializationTimeout: DurationParam

Related Doc: package params

trait TrainingParamsTrait extends QuantizationParamsTrait with HasLabelCol with HasFeaturesCol with HasWeightCol

Abstract Value Members

abstract def copy(extra: ParamMap): Params

abstract val uid: String

Concrete Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

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

final def ==(arg0: Any): Boolean

final val allowConstLabel: BooleanParam

final val allowWritingFiles: BooleanParam

final val approxOnFullHistory: BooleanParam

final def asInstanceOf[T0]: T0

final val baggingTemperature: FloatParam

final val bestModelMinTrees: IntParam

final val bootstrapType: EnumParam[EBootstrapType]

final val borderCount: IntParam

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

def clone(): AnyRef

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

final val customMetric: StringArrayParam

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

final val depth: IntParam

final val diffusionTemperature: FloatParam

final val earlyStoppingRounds: IntParam

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

final val evalMetric: Param[String]

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

def explainParams(): String

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

final val featureBorderType: EnumParam[EBorderSelectionType]

final val featureWeightsList: DoubleArrayParam

final val featureWeightsMap: OrderedStringMapParam[Double]

final val featuresCol: Param[String]

def finalize(): Unit

final val firstFeatureUsePenaltiesList: DoubleArrayParam

final val firstFeatureUsePenaltiesMap: OrderedStringMapParam[Double]

final val foldLenMultiplier: FloatParam

final val foldPermutationBlock: IntParam

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

final def getAllowConstLabel: Boolean

final def getAllowWritingFiles: Boolean

final def getApproxOnFullHistory: Boolean

final def getBaggingTemperature: Float

final def getBestModelMinTrees: Int

final def getBootstrapType: EBootstrapType

final def getBorderCount: Int

final def getClass(): Class[_]

final def getCustomMetric: Array[String]

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

final def getDepth: Int

final def getDiffusionTemperature: Float

final def getEarlyStoppingRounds: Int

final def getEvalMetric: String

final def getFeatureBorderType: EBorderSelectionType

final def getFeatureWeightsList: Array[Double]

final def getFeatureWeightsMap: LinkedHashMap[String, Double]

final def getFeaturesCol: String

final def getFirstFeatureUsePenaltiesList: Array[Double]

final def getFirstFeatureUsePenaltiesMap: LinkedHashMap[String, Double]

final def getFoldLenMultiplier: Float

final def getFoldPermutationBlock: Int

final def getHasTime: Boolean

final def getIgnoredFeaturesIndices: Array[Int]

final def getIgnoredFeaturesNames: Array[String]

final def getInputBorders: String

final def getIterations: Int

final def getL2LeafReg: Float

final def getLabelCol: String

final def getLeafEstimationBacktracking: ELeavesEstimationStepBacktracking

final def getLeafEstimationIterations: Int

final def getLeafEstimationMethod: ELeavesEstimation

final def getLearningRate: Float

final def getLoggingLevel: ELoggingLevel

final def getLossFunction: String

final def getMetricPeriod: Int