Trait

org.apache.spark.ml.regression

OpGeneralizedLinearRegressionParams

Related Doc: package regression

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trait OpGeneralizedLinearRegressionParams extends GeneralizedLinearRegressionBase

Linear Supertypes
GeneralizedLinearRegressionBase, Logging, HasSolver, HasWeightCol, HasRegParam, HasTol, HasMaxIter, HasFitIntercept, PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
OpGeneralizedLinearRegression
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Inherited
  1. OpGeneralizedLinearRegressionParams
  2. GeneralizedLinearRegressionBase
  3. Logging
  4. HasSolver
  5. HasWeightCol
  6. HasRegParam
  7. HasTol
  8. HasMaxIter
  9. HasFitIntercept
  10. PredictorParams
  11. HasPredictionCol
  12. HasFeaturesCol
  13. HasLabelCol
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. 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
    AnyRef → Any

  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 def asInstanceOf[T0]: T0

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  7. def clone(): AnyRef

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

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

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    Params

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

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    protected
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    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. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  16. final val family: Param[String]

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    Definition Classes
    GeneralizedLinearRegressionBase
    Annotations
    @Since( "2.0.0" )

  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. final val fitIntercept: BooleanParam

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    Definition Classes
    HasFitIntercept

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

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    Definition Classes
    Params

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

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

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    Definition Classes
    Params

  23. def getFamily: String

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    Definition Classes
    GeneralizedLinearRegressionBase
    Annotations
    @Since( "2.0.0" )

  24. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  25. final def getFitIntercept: Boolean

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    Definition Classes
    HasFitIntercept

  26. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  27. def getLink: String

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    Definition Classes
    GeneralizedLinearRegressionBase
    Annotations
    @Since( "2.0.0" )

  28. def getLinkPower: Double

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    Definition Classes
    GeneralizedLinearRegressionBase
    Annotations
    @Since( "2.2.0" )

  29. def getLinkPredictionCol: String

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    Definition Classes
    GeneralizedLinearRegressionBase
    Annotations
    @Since( "2.0.0" )

  30. final def getMaxIter: Int

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    Definition Classes
    HasMaxIter

  31. def getOffsetCol: String

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    Definition Classes
    GeneralizedLinearRegressionBase
    Annotations
    @Since( "2.3.0" )

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  34. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  35. final def getRegParam: Double

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    Definition Classes
    HasRegParam

  36. final def getSolver: String

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    Definition Classes
    HasSolver

  37. final def getTol: Double

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    Definition Classes
    HasTol

  38. def getVariancePower: Double

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    Definition Classes
    GeneralizedLinearRegressionBase
    Annotations
    @Since( "2.2.0" )

  39. final def getWeightCol: String

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    Definition Classes
    HasWeightCol

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

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    Definition Classes
    Params

  41. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  42. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  44. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    protected
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    Logging

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

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    Params

  46. final def isInstanceOf[T0]: Boolean

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

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    Params

  48. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  49. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  50. final val link: Param[String]

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    Definition Classes
    GeneralizedLinearRegressionBase
    Annotations
    @Since( "2.0.0" )

  51. final val linkPower: DoubleParam

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    Definition Classes
    GeneralizedLinearRegressionBase
    Annotations
    @Since( "2.2.0" )

  52. final val linkPredictionCol: Param[String]

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    Definition Classes
    GeneralizedLinearRegressionBase
    Annotations
    @Since( "2.0.0" )

  53. def log: Logger

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    Logging

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

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    Attributes
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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

  60. def logName: String

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    protected
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    Logging

  65. final val maxIter: IntParam

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    Definition Classes
    HasMaxIter

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

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    AnyRef

  67. final def notify(): Unit

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    Definition Classes
    AnyRef

  68. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  69. final val offsetCol: Param[String]

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    Definition Classes
    GeneralizedLinearRegressionBase
    Annotations
    @Since( "2.3.0" )

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

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    Params

  71. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  72. final val regParam: DoubleParam

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    Definition Classes
    HasRegParam

  73. final def set(paramPair: ParamPair[_]): OpGeneralizedLinearRegressionParams.this.type

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  74. final def set(param: String, value: Any): OpGeneralizedLinearRegressionParams.this.type

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

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  76. final def setDefault(paramPairs: ParamPair[_]*): OpGeneralizedLinearRegressionParams.this.type

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

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    Params

  78. final val solver: Param[String]

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    Definition Classes
    GeneralizedLinearRegressionBase → HasSolver
    Annotations
    @Since( "2.0.0" )

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

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    AnyRef

  80. def toString(): String

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    Identifiable → AnyRef → Any

  81. final val tol: DoubleParam

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    Definition Classes
    HasTol

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

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    Definition Classes
    GeneralizedLinearRegressionBase → PredictorParams
    Annotations
    @Since( "2.0.0" )

  83. final val variancePower: DoubleParam

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    Definition Classes
    GeneralizedLinearRegressionBase
    Annotations
    @Since( "2.2.0" )

  84. final def wait(): Unit

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    @throws( ... )

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

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

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  87. final val weightCol: Param[String]

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    Definition Classes
    HasWeightCol

Inherited from GeneralizedLinearRegressionBase

Inherited from Logging

Inherited from HasSolver

Inherited from HasWeightCol

Inherited from HasRegParam

Inherited from HasTol

Inherited from HasMaxIter

Inherited from HasFitIntercept

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