abstract class CatBoostRegressorBase[F, R <: Regressor[F, R, M], M <: RegressionModel[F, M]] extends Regressor[F, R, M]
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- CatBoostRegressorBase
- Regressor
- Predictor
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- HasPredictionCol
- HasFeaturesCol
- HasLabelCol
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- PipelineStage
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- new CatBoostRegressorBase()
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- final def clear(param: Param[_]): CatBoostRegressorBase.this.type
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- def copyValues[T <: Params](to: T, extra: ParamMap): T
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- def explainParam(param: Param[_]): String
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- def explainParams(): String
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- final def extractParamMap(): ParamMap
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- final def extractParamMap(extra: ParamMap): ParamMap
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- final val featuresCol: Param[String]
- Definition Classes
- HasFeaturesCol
- def finalize(): Unit
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- def fit(dataset: Dataset[_]): M
- Definition Classes
- Predictor → Estimator
- def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[M]
- Definition Classes
- Estimator
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- @Since("2.0.0")
- def fit(dataset: Dataset[_], paramMap: ParamMap): M
- Definition Classes
- Estimator
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- def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): M
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- final def get[T](param: Param[T]): Option[T]
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- final def getDefault[T](param: Param[T]): Option[T]
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- final def getFeaturesCol: String
- Definition Classes
- HasFeaturesCol
- final def getLabelCol: String
- Definition Classes
- HasLabelCol
- final def getOrDefault[T](param: Param[T]): T
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- def getParam(paramName: String): Param[Any]
- Definition Classes
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- final def getPredictionCol: String
- Definition Classes
- HasPredictionCol
- final def hasDefault[T](param: Param[T]): Boolean
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- def hasParam(paramName: String): Boolean
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- def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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- def isTraceEnabled(): Boolean
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- final val labelCol: Param[String]
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- HasLabelCol
- def log: Logger
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- def logDebug(msg: => String, throwable: Throwable): Unit
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- def logDebug(msg: => String): Unit
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- def logError(msg: => String, throwable: Throwable): Unit
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- def logError(msg: => String): Unit
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- def logInfo(msg: => String, throwable: Throwable): Unit
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- def logInfo(msg: => String): Unit
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- def logName: String
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- def logTrace(msg: => String, throwable: Throwable): Unit
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- def logTrace(msg: => String): Unit
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- def logWarning(msg: => String, throwable: Throwable): Unit
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- def logWarning(msg: => String): Unit
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- lazy val params: Array[Param[_]]
- Definition Classes
- Params
- final val predictionCol: Param[String]
- Definition Classes
- HasPredictionCol
- final def set(paramPair: ParamPair[_]): CatBoostRegressorBase.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def set(param: String, value: Any): CatBoostRegressorBase.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def set[T](param: Param[T], value: T): CatBoostRegressorBase.this.type
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- final def setDefault(paramPairs: ParamPair[_]*): CatBoostRegressorBase.this.type
- Attributes
- protected
- Definition Classes
- Params
- final def setDefault[T](param: Param[T], value: T): CatBoostRegressorBase.this.type
- Attributes
- protected[ml]
- Definition Classes
- Params
- def setFeaturesCol(value: String): R
- Definition Classes
- Predictor
- def setLabelCol(value: String): R
- Definition Classes
- Predictor
- def setPredictionCol(value: String): R
- Definition Classes
- Predictor
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
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- def toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
- def transformSchema(schema: StructType): StructType
- Definition Classes
- Predictor → PipelineStage
- def transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
- def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
- Attributes
- protected
- Definition Classes
- PredictorParams
- final def wait(): Unit
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- final def wait(arg0: Long, arg1: Int): Unit
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- final def wait(arg0: Long): Unit
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