Trait

org.apache.spark.ml.regression

OpLinearRegressionParams

Related Doc: package regression

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trait OpLinearRegressionParams extends LinearRegressionParams

Linear Supertypes
LinearRegressionParams, HasLoss, HasAggregationDepth, HasSolver, HasWeightCol, HasStandardization, HasFitIntercept, HasTol, HasMaxIter, HasElasticNetParam, HasRegParam, PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
OpLinearRegression
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Inherited
  1. OpLinearRegressionParams
  2. LinearRegressionParams
  3. HasLoss
  4. HasAggregationDepth
  5. HasSolver
  6. HasWeightCol
  7. HasStandardization
  8. HasFitIntercept
  9. HasTol
  10. HasMaxIter
  11. HasElasticNetParam
  12. HasRegParam
  13. PredictorParams
  14. HasPredictionCol
  15. HasFeaturesCol
  16. HasLabelCol
  17. Params
  18. Serializable
  19. Serializable
  20. Identifiable
  21. AnyRef
  22. Any
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Abstract Value Members

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

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    Definition Classes
    Params

  2. 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
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  3. final def $[T](param: Param[T]): T

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    protected
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    Params

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

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    Definition Classes
    AnyRef → Any

  5. final val aggregationDepth: IntParam

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    Definition Classes
    HasAggregationDepth

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  8. def clone(): AnyRef

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

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

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    protected
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    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  11. final val elasticNetParam: DoubleParam

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    Definition Classes
    HasElasticNetParam

  12. final val epsilon: DoubleParam

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    Definition Classes
    LinearRegressionParams
    Annotations
    @Since( "2.3.0" )

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

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    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

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    Definition Classes
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  15. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  16. def explainParams(): String

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    Definition Classes
    Params

  17. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  19. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  20. def finalize(): Unit

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    protected[java.lang]
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    AnyRef
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    @throws( classOf[java.lang.Throwable] )

  21. final val fitIntercept: BooleanParam

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    Definition Classes
    HasFitIntercept

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

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    Definition Classes
    Params

  23. final def getAggregationDepth: Int

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    Definition Classes
    HasAggregationDepth

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

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

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    Definition Classes
    Params

  26. final def getElasticNetParam: Double

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    Definition Classes
    HasElasticNetParam

  27. def getEpsilon: Double

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    Definition Classes
    LinearRegressionParams
    Annotations
    @Since( "2.3.0" )

  28. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  29. final def getFitIntercept: Boolean

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    Definition Classes
    HasFitIntercept

  30. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  31. final def getLoss: String

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    Definition Classes
    HasLoss

  32. final def getMaxIter: Int

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    Definition Classes
    HasMaxIter

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  35. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  36. final def getRegParam: Double

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    Definition Classes
    HasRegParam

  37. final def getSolver: String

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    Definition Classes
    HasSolver

  38. final def getStandardization: Boolean

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    Definition Classes
    HasStandardization

  39. final def getTol: Double

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    Definition Classes
    HasTol

  40. final def getWeightCol: String

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    Definition Classes
    HasWeightCol

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

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    Definition Classes
    Params

  42. def hasParam(paramName: String): Boolean

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    Params

  43. def hashCode(): Int

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

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    Params

  45. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  47. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  48. final val loss: Param[String]

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    Definition Classes
    LinearRegressionParams → HasLoss
    Annotations
    @Since( "2.3.0" )

  49. final val maxIter: IntParam

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    Definition Classes
    HasMaxIter

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

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    Definition Classes
    AnyRef

  51. final def notify(): Unit

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    AnyRef

  52. final def notifyAll(): Unit

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    AnyRef

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

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    Definition Classes
    Params

  54. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  55. final val regParam: DoubleParam

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    Definition Classes
    HasRegParam

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

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    Params

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

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    Params

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

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    Params

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

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

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    protected
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    Params

  61. final val solver: Param[String]

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    Definition Classes
    LinearRegressionParams → HasSolver
    Annotations
    @Since( "1.6.0" )

  62. final val standardization: BooleanParam

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    Definition Classes
    HasStandardization

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

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    Definition Classes
    AnyRef

  64. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  65. final val tol: DoubleParam

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    Definition Classes
    HasTol

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

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    Attributes
    protected
    Definition Classes
    LinearRegressionParams → PredictorParams

  67. final def wait(): Unit

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    @throws( ... )

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

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

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  70. final val weightCol: Param[String]

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    Definition Classes
    HasWeightCol

Inherited from LinearRegressionParams

Inherited from HasLoss

Inherited from HasAggregationDepth

Inherited from HasSolver

Inherited from HasWeightCol

Inherited from HasStandardization

Inherited from HasFitIntercept

Inherited from HasTol

Inherited from HasMaxIter

Inherited from HasElasticNetParam

Inherited from HasRegParam

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped