Class/Object

org.apache.spark.ml.odkl

CompositScaleEstimator

Related Docs: object CompositScaleEstimator | package odkl

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class CompositScaleEstimator[M <: LinearModel[M], C <: CombinedModel[M, C]] extends ScalerEstimator[C]

Linear Supertypes
ScalerEstimator[C], DefaultParamsWritable, MLWritable, ScalerParams, HasFeaturesCol, Estimator[Unscaler[C]], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. CompositScaleEstimator
  2. ScalerEstimator
  3. DefaultParamsWritable
  4. MLWritable
  5. ScalerParams
  6. HasFeaturesCol
  7. Estimator
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new CompositScaleEstimator()

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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[_]): CompositScaleEstimator.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 copy(extra: ParamMap): CompositScaleEstimator[M, C]

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    Definition Classes
    CompositScaleEstimator → Estimator → PipelineStage → Params
  9. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  10. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  11. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  13. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  14. def explainParams(): String

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    Definition Classes
    Params
  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[_]): Unscaler[C]

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    Definition Classes
    ScalerEstimator → Estimator
  20. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[Unscaler[C]]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  21. def fit(dataset: Dataset[_], paramMap: ParamMap): Unscaler[C]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  22. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): Unscaler[C]

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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 getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  28. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  29. def getWithMean: Boolean

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    Definition Classes
    ScalerParams
  30. def getWithStd: Boolean

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    Definition Classes
    ScalerParams
  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. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  41. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  42. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  43. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  44. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  45. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  46. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  47. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  48. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  49. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  50. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  51. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  52. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  53. final def notify(): Unit

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    Definition Classes
    AnyRef
  54. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  55. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  56. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  57. final def set(paramPair: ParamPair[_]): CompositScaleEstimator.this.type

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    Attributes
    protected
    Definition Classes
    Params
  58. final def set(param: String, value: Any): CompositScaleEstimator.this.type

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    Attributes
    protected
    Definition Classes
    Params
  59. final def set[T](param: Param[T], value: T): CompositScaleEstimator.this.type

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    Definition Classes
    Params
  60. final def setDefault(paramPairs: ParamPair[_]*): CompositScaleEstimator.this.type

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    Attributes
    protected
    Definition Classes
    Params
  61. final def setDefault[T](param: Param[T], value: T): CompositScaleEstimator.this.type

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    Attributes
    protected
    Definition Classes
    Params
  62. def setWithMean(value: Boolean): CompositScaleEstimator.this.type

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    Definition Classes
    ScalerParams
  63. def setWithStd(value: Boolean): CompositScaleEstimator.this.type

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    Definition Classes
    ScalerParams
  64. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  65. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  66. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ScalerEstimator → PipelineStage
  67. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  68. val uid: String

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    Definition Classes
    ScalerEstimator → Identifiable
  69. def unscaleModel(model: C, scaler: StandardScalerModel): C

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    Attributes
    protected
    Definition Classes
    CompositScaleEstimatorScalerEstimator
  70. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  71. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  72. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  73. val withMean: BooleanParam

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    Whether to center the data with mean before scaling.

    Whether to center the data with mean before scaling. It will build a dense output, so this does not work on sparse input and will raise an exception. Default: false

    Definition Classes
    ScalerParams
  74. val withStd: BooleanParam

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    Whether to scale the data to unit standard deviation.

    Whether to scale the data to unit standard deviation. Default: true

    Definition Classes
    ScalerParams
  75. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from ScalerEstimator[C]

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from ScalerParams

Inherited from HasFeaturesCol

Inherited from Estimator[Unscaler[C]]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

Ungrouped