trait RegressorTrainingParamsTrait extends TrainingParamsTrait
Params for training CatBoostRegressor. See documentation at https://catboost.ai/docs/ for details.
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- RegressorTrainingParamsTrait
- TrainingParamsTrait
- HasWeightCol
- HasFeaturesCol
- HasLabelCol
- QuantizationParamsTrait
- ThreadCountParams
- IgnoredFeaturesParams
- Params
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- final def $[T](param: Param[T]): T
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- protected
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- Params
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final val allowConstLabel: BooleanParam
- Definition Classes
- TrainingParamsTrait
- final val allowWritingFiles: BooleanParam
- Definition Classes
- TrainingParamsTrait
- final val approxOnFullHistory: BooleanParam
- Definition Classes
- TrainingParamsTrait
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- final val baggingTemperature: FloatParam
- Definition Classes
- TrainingParamsTrait
- final val bestModelMinTrees: IntParam
- Definition Classes
- TrainingParamsTrait
- final val bootstrapType: EnumParam[EBootstrapType]
- Definition Classes
- TrainingParamsTrait
- final val borderCount: IntParam
- Definition Classes
- QuantizationParamsTrait
- final def clear(param: Param[_]): RegressorTrainingParamsTrait.this.type
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- def clone(): AnyRef
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- protected[lang]
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- final val connectTimeout: DurationParam
- Definition Classes
- TrainingParamsTrait
- def copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
- final val customMetric: StringArrayParam
- Definition Classes
- TrainingParamsTrait
- final def defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
- final val depth: IntParam
- Definition Classes
- TrainingParamsTrait
- final val diffusionTemperature: FloatParam
- Definition Classes
- TrainingParamsTrait
- final val earlyStoppingRounds: IntParam
- Definition Classes
- TrainingParamsTrait
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- final val evalMetric: Param[String]
- Definition Classes
- TrainingParamsTrait
- 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
- Definition Classes
- TrainingParamsTrait
- final val featureWeightsMap: OrderedStringMapParam[Double]
- Definition Classes
- TrainingParamsTrait
- final val featuresCol: Param[String]
- Definition Classes
- HasFeaturesCol
- def finalize(): Unit
- Attributes
- protected[lang]
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- Annotations
- @throws(classOf[java.lang.Throwable])
- final val firstFeatureUsePenaltiesList: DoubleArrayParam
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- TrainingParamsTrait
- final val firstFeatureUsePenaltiesMap: OrderedStringMapParam[Double]
- Definition Classes
- TrainingParamsTrait
- final val foldLenMultiplier: FloatParam
- Definition Classes
- TrainingParamsTrait
- final val foldPermutationBlock: IntParam
- Definition Classes
- TrainingParamsTrait
- final def get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- final def getAllowConstLabel: Boolean
- Definition Classes
- TrainingParamsTrait
- final def getAllowWritingFiles: Boolean
- Definition Classes
- TrainingParamsTrait
- final def getApproxOnFullHistory: Boolean
- Definition Classes
- TrainingParamsTrait
- final def getBaggingTemperature: Float
- Definition Classes
- TrainingParamsTrait
- final def getBestModelMinTrees: Int
- Definition Classes
- TrainingParamsTrait
- final def getBootstrapType: EBootstrapType
- Definition Classes
- TrainingParamsTrait
- final def getBorderCount: Int
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- QuantizationParamsTrait
- final def getClass(): Class[_ <: AnyRef]
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- AnyRef → Any
- Annotations
- @native()
- final def getConnectTimeout: Duration
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- TrainingParamsTrait
- final def getCustomMetric: Array[String]
- Definition Classes
- TrainingParamsTrait
- final def getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- final def getDepth: Int
- Definition Classes
- TrainingParamsTrait
- final def getDiffusionTemperature: Float
- Definition Classes
- TrainingParamsTrait
- final def getEarlyStoppingRounds: Int
- Definition Classes
- TrainingParamsTrait
- final def getEvalMetric: String
- Definition Classes
- TrainingParamsTrait
- final def getFeatureBorderType: EBorderSelectionType
- Definition Classes
- QuantizationParamsTrait
- final def getFeatureWeightsList: Array[Double]
- Definition Classes
- TrainingParamsTrait
- final def getFeatureWeightsMap: LinkedHashMap[String, Double]
- Definition Classes
- TrainingParamsTrait
- final def getFeaturesCol: String
- Definition Classes
- HasFeaturesCol
- final def getFirstFeatureUsePenaltiesList: Array[Double]
- Definition Classes
- TrainingParamsTrait
- final def getFirstFeatureUsePenaltiesMap: LinkedHashMap[String, Double]
- Definition Classes
- TrainingParamsTrait
- final def getFoldLenMultiplier: Float
- Definition Classes
- TrainingParamsTrait
- final def getFoldPermutationBlock: Int
- Definition Classes
- TrainingParamsTrait
- final def getHasTime: Boolean
- Definition Classes
- TrainingParamsTrait
- 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
- Definition Classes
- TrainingParamsTrait
- final def getL2LeafReg: Float
- Definition Classes
- TrainingParamsTrait
- final def getLabelCol: String
- Definition Classes
- HasLabelCol
- final def getLeafEstimationBacktracking: ELeavesEstimationStepBacktracking
- Definition Classes
- TrainingParamsTrait
- final def getLeafEstimationIterations: Int
- Definition Classes
- TrainingParamsTrait
- final def getLeafEstimationMethod: ELeavesEstimation
- Definition Classes
- TrainingParamsTrait
- final def getLearningRate: Float
- Definition Classes
- TrainingParamsTrait
- final def getLoggingLevel: ELoggingLevel
- Definition Classes
- TrainingParamsTrait
- final def getLossFunction: String
- Definition Classes
- TrainingParamsTrait
- final def getMetricPeriod: Int
- Definition Classes
- TrainingParamsTrait
- final def getModelShrinkMode: EModelShrinkMode
- Definition Classes
- TrainingParamsTrait
- final def getModelShrinkRate: Float
- Definition Classes
- TrainingParamsTrait
- final def getMvsReg: Float
- Definition Classes
- TrainingParamsTrait
- final def getNanMode: ENanMode
- Definition Classes
- QuantizationParamsTrait
- final def getOdPval: Float
- Definition Classes
- TrainingParamsTrait
- final def getOdType: EOverfittingDetectorType
- Definition Classes
- TrainingParamsTrait
- final def getOdWait: Int
- Definition Classes
- TrainingParamsTrait
- final def getOneHotMaxSize: Int
- Definition Classes
- TrainingParamsTrait
- final def getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
- def getParam(paramName: String): Param[Any]
- Definition Classes
- Params
- final def getPenaltiesCoefficient: Float
- Definition Classes
- TrainingParamsTrait
- final def getPerFloatFeatureQuantizaton: Array[String]
- Definition Classes
- QuantizationParamsTrait
- final def getPerObjectFeaturePenaltiesList: Array[Double]
- Definition Classes
- TrainingParamsTrait
- final def getPerObjectFeaturePenaltiesMap: LinkedHashMap[String, Double]
- Definition Classes
- TrainingParamsTrait
- final def getRandomSeed: Int
- Definition Classes
- TrainingParamsTrait
- final def getRandomStrength: Float
- Definition Classes
- TrainingParamsTrait
- final def getRsm: Float
- Definition Classes
- TrainingParamsTrait
- final def getSamplingFrequency: ESamplingFrequency
- Definition Classes
- TrainingParamsTrait
- final def getSamplingUnit: ESamplingUnit
- Definition Classes
- TrainingParamsTrait
- final def getSaveSnapshot: Boolean
- Definition Classes
- TrainingParamsTrait
- final def getScoreFunction: EScoreFunction
- Definition Classes
- TrainingParamsTrait
- final def getSnapshotFile: String
- Definition Classes
- TrainingParamsTrait
- final def getSnapshotInterval: Duration
- Definition Classes
- TrainingParamsTrait
- final def getSparkPartitionCount: Int
- Definition Classes
- TrainingParamsTrait
- final def getSubsample: Float
- Definition Classes
- TrainingParamsTrait
- final def getThreadCount: Int
- Definition Classes
- ThreadCountParams
- final def getTrainDir: String
- Definition Classes
- TrainingParamsTrait
- final def getTrainingDriverListeningPort: Int
- Definition Classes
- TrainingParamsTrait
- final def getUseBestModel: Boolean
- Definition Classes
- TrainingParamsTrait
- final def getWeightCol: String
- Definition Classes
- HasWeightCol
- final def getWorkerInitializationTimeout: Duration
- Definition Classes
- TrainingParamsTrait
- final def getWorkerListeningPort: Int
- Definition Classes
- TrainingParamsTrait
- final def getWorkerMaxFailures: Int
- Definition Classes
- TrainingParamsTrait
- final def hasDefault[T](param: Param[T]): Boolean
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- def hasParam(paramName: String): Boolean
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- Params
- final val hasTime: BooleanParam
- Definition Classes
- TrainingParamsTrait
- def hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- 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
- Definition Classes
- TrainingParamsTrait
- final val l2LeafReg: FloatParam
- Definition Classes
- TrainingParamsTrait
- final val labelCol: Param[String]
- Definition Classes
- HasLabelCol
- final val leafEstimationBacktracking: EnumParam[ELeavesEstimationStepBacktracking]
- Definition Classes
- TrainingParamsTrait
- final val leafEstimationIterations: IntParam
- Definition Classes
- TrainingParamsTrait
- final val leafEstimationMethod: EnumParam[ELeavesEstimation]
- Definition Classes
- TrainingParamsTrait
- final val learningRate: FloatParam
- Definition Classes
- TrainingParamsTrait
- final val loggingLevel: EnumParam[ELoggingLevel]
- Definition Classes
- TrainingParamsTrait
- final val lossFunction: Param[String]
- Definition Classes
- TrainingParamsTrait
- final val metricPeriod: IntParam
- Definition Classes
- TrainingParamsTrait
- final val modelShrinkMode: EnumParam[EModelShrinkMode]
- Definition Classes
- TrainingParamsTrait
- final val modelShrinkRate: FloatParam
- Definition Classes
- TrainingParamsTrait
- final val mvsReg: FloatParam
- Definition Classes
- TrainingParamsTrait
- final val nanMode: EnumParam[ENanMode]
- Definition Classes
- QuantizationParamsTrait
- final def ne(arg0: AnyRef): Boolean
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- AnyRef
- final def notify(): Unit
- Definition Classes
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- Annotations
- @native()
- final def notifyAll(): Unit
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- Annotations
- @native()
- final val odPval: FloatParam
- Definition Classes
- TrainingParamsTrait
- final val odType: EnumParam[EOverfittingDetectorType]
- Definition Classes
- TrainingParamsTrait
- final val odWait: IntParam
- Definition Classes
- TrainingParamsTrait
- final val oneHotMaxSize: IntParam
- Definition Classes
- TrainingParamsTrait
- lazy val params: Array[Param[_]]
- Definition Classes
- Params
- final val penaltiesCoefficient: FloatParam
- Definition Classes
- TrainingParamsTrait
- final val perFloatFeatureQuantizaton: StringArrayParam
- Definition Classes
- QuantizationParamsTrait
- final val perObjectFeaturePenaltiesList: DoubleArrayParam
- Definition Classes
- TrainingParamsTrait
- final val perObjectFeaturePenaltiesMap: OrderedStringMapParam[Double]
- Definition Classes
- TrainingParamsTrait
- final val randomSeed: IntParam
- Definition Classes
- TrainingParamsTrait
- final val randomStrength: FloatParam
- Definition Classes
- TrainingParamsTrait
- final val rsm: FloatParam
- Definition Classes
- TrainingParamsTrait
- final val samplingFrequency: EnumParam[ESamplingFrequency]
- Definition Classes
- TrainingParamsTrait
- final val samplingUnit: EnumParam[ESamplingUnit]
- Definition Classes
- TrainingParamsTrait
- final val saveSnapshot: BooleanParam
- Definition Classes
- TrainingParamsTrait
- final val scoreFunction: EnumParam[EScoreFunction]
- Definition Classes
- TrainingParamsTrait
- final def set(paramPair: ParamPair[_]): RegressorTrainingParamsTrait.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def set(param: String, value: Any): RegressorTrainingParamsTrait.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def set[T](param: Param[T], value: T): RegressorTrainingParamsTrait.this.type
- Definition Classes
- Params
- final def setAllowConstLabel(value: Boolean): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setAllowWritingFiles(value: Boolean): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setApproxOnFullHistory(value: Boolean): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setBaggingTemperature(value: Float): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setBestModelMinTrees(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setBootstrapType(value: EBootstrapType): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setBorderCount(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- QuantizationParamsTrait
- final def setConnectTimeout(value: Duration): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setCustomMetric(value: Array[String]): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setDefault(paramPairs: ParamPair[_]*): RegressorTrainingParamsTrait.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def setDefault[T](param: Param[T], value: T): RegressorTrainingParamsTrait.this.type
- Attributes
- protected[ml]
- Definition Classes
- Params
- final def setDepth(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setDiffusionTemperature(value: Float): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setEarlyStoppingRounds(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setEvalMetric(value: String): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setFeatureBorderType(value: EBorderSelectionType): RegressorTrainingParamsTrait.this.type
- Definition Classes
- QuantizationParamsTrait
- final def setFeatureWeightsList(value: Array[Double]): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setFeatureWeightsMap(value: LinkedHashMap[String, Double]): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setFirstFeatureUsePenaltiesList(value: Array[Double]): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setFirstFeatureUsePenaltiesMap(value: LinkedHashMap[String, Double]): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setFoldLenMultiplier(value: Float): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setFoldPermutationBlock(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setHasTime(value: Boolean): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setIgnoredFeaturesIndices(value: Array[Int]): RegressorTrainingParamsTrait.this.type
- Definition Classes
- IgnoredFeaturesParams
- final def setIgnoredFeaturesNames(value: Array[String]): RegressorTrainingParamsTrait.this.type
- Definition Classes
- IgnoredFeaturesParams
- final def setInputBorders(value: String): RegressorTrainingParamsTrait.this.type
- Definition Classes
- QuantizationParamsTrait
- final def setIterations(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setL2LeafReg(value: Float): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setLeafEstimationBacktracking(value: ELeavesEstimationStepBacktracking): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setLeafEstimationIterations(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setLeafEstimationMethod(value: ELeavesEstimation): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setLearningRate(value: Float): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setLoggingLevel(value: ELoggingLevel): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setLossFunction(value: String): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setMetricPeriod(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setModelShrinkMode(value: EModelShrinkMode): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setModelShrinkRate(value: Float): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setMvsReg(value: Float): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setNanMode(value: ENanMode): RegressorTrainingParamsTrait.this.type
- Definition Classes
- QuantizationParamsTrait
- final def setOdPval(value: Float): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setOdType(value: EOverfittingDetectorType): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setOdWait(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setOneHotMaxSize(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setPenaltiesCoefficient(value: Float): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setPerFloatFeatureQuantizaton(value: Array[String]): RegressorTrainingParamsTrait.this.type
- Definition Classes
- QuantizationParamsTrait
- final def setPerObjectFeaturePenaltiesList(value: Array[Double]): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setPerObjectFeaturePenaltiesMap(value: LinkedHashMap[String, Double]): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setRandomSeed(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setRandomStrength(value: Float): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setRsm(value: Float): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setSamplingFrequency(value: ESamplingFrequency): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setSamplingUnit(value: ESamplingUnit): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setSaveSnapshot(value: Boolean): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setScoreFunction(value: EScoreFunction): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setSnapshotFile(value: String): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setSnapshotInterval(value: Duration): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setSparkPartitionCount(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setSubsample(value: Float): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setThreadCount(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- ThreadCountParams
- final def setTrainDir(value: String): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setTrainingDriverListeningPort(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setUseBestModel(value: Boolean): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setWorkerInitializationTimeout(value: Duration): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setWorkerListeningPort(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final def setWorkerMaxFailures(value: Int): RegressorTrainingParamsTrait.this.type
- Definition Classes
- TrainingParamsTrait
- final val snapshotFile: Param[String]
- Definition Classes
- TrainingParamsTrait
- final val snapshotInterval: DurationParam
- Definition Classes
- TrainingParamsTrait
- final val sparkPartitionCount: IntParam
- Definition Classes
- TrainingParamsTrait
- final val subsample: FloatParam
- Definition Classes
- TrainingParamsTrait
- 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]
- Definition Classes
- TrainingParamsTrait
- final val trainingDriverListeningPort: IntParam
- Definition Classes
- TrainingParamsTrait
- final val useBestModel: BooleanParam
- Definition Classes
- TrainingParamsTrait
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final val weightCol: Param[String]
- Definition Classes
- HasWeightCol
- final val workerInitializationTimeout: DurationParam
- Definition Classes
- TrainingParamsTrait
- final val workerListeningPort: IntParam
- Definition Classes
- TrainingParamsTrait
- final val workerMaxFailures: IntParam
- Definition Classes
- TrainingParamsTrait