Class

org.apache.spark.ml

BaseRegressor

Related Doc: package ml

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abstract class BaseRegressor[F, R <: Regressor[F, R, M], M <: RegressionModel[F, M]] extends Regressor[F, R, M]

Temporary hack to expose private Regressor class in SparkML as a developer API

Linear Supertypes
Regressor[F, R, M], Predictor[F, R, M], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Estimator[M], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
LightGBMRegressor, VowpalWabbitRegressor
Ordering
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  2. By Inheritance
Inherited
  1. BaseRegressor
  2. Regressor
  3. Predictor
  4. PredictorParams
  5. HasPredictionCol
  6. HasFeaturesCol
  7. HasLabelCol
  8. Estimator
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new BaseRegressor()

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Abstract Value Members

  1. abstract def copy(extra: ParamMap): R

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    Definition Classes
    Predictor → Estimator → PipelineStage → Params

  2. abstract def train(dataset: Dataset[_]): M

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    Attributes
    protected
    Definition Classes
    Predictor

  3. abstract val uid: String

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    Definition Classes
    Identifiable

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  10. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  13. def explainParams(): String

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    Definition Classes
    Params

  14. def extractLabeledPoints(dataset: Dataset[_]): RDD[LabeledPoint]

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    Attributes
    protected
    Definition Classes
    Predictor

  15. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  16. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  17. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  18. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  19. def fit(dataset: Dataset[_]): M

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    Definition Classes
    Predictor → Estimator

  20. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[M]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  21. def fit(dataset: Dataset[_], paramMap: ParamMap): M

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  22. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): M

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()

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

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    Definition Classes
    Params

  24. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  26. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  27. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  30. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

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

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    Definition Classes
    Params

  32. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  33. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  35. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  37. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  39. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  40. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  41. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  43. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  45. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  47. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  48. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  50. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  52. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  53. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  54. final def notify(): Unit

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    Definition Classes
    AnyRef

  55. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  56. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  57. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  63. def setFeaturesCol(value: String): R

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    Definition Classes
    Predictor

  64. def setLabelCol(value: String): R

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    Definition Classes
    Predictor

  65. def setPredictionCol(value: String): R

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    Definition Classes
    Predictor

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

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    Definition Classes
    AnyRef

  67. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  68. def transformSchema(schema: StructType): StructType

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    Definition Classes
    Predictor → PipelineStage

  69. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  70. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

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    Attributes
    protected
    Definition Classes
    PredictorParams

  71. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  73. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Regressor[F, R, M]

Inherited from Predictor[F, R, M]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Estimator[M]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped