Class/Object

com.microsoft.ml.spark

ValueIndexerModel

Related Docs: object ValueIndexerModel | package spark

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class ValueIndexerModel extends Model[ValueIndexerModel] with ValueIndexerParams with ComplexParamsWritable

Model produced by ValueIndexer.

Linear Supertypes
ComplexParamsWritable, ValueIndexerParams, HasOutputCol, HasInputCol, DefaultParamsWritable, MLWritable, Wrappable, Model[ValueIndexerModel], Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ValueIndexerModel
  2. ComplexParamsWritable
  3. ValueIndexerParams
  4. HasOutputCol
  5. HasInputCol
  6. DefaultParamsWritable
  7. MLWritable
  8. Wrappable
  9. Model
  10. Transformer
  11. PipelineStage
  12. Logging
  13. Params
  14. Serializable
  15. Serializable
  16. Identifiable
  17. AnyRef
  18. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ValueIndexerModel()

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  2. new ValueIndexerModel(uid: String)

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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[_]): ValueIndexerModel.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): ValueIndexerModel

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    Definition Classes
    ValueIndexerModel → Model → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  10. val dataType: Param[String]

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    The datatype of the levels as a jason string

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

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    Attributes
    protected
    Definition Classes
    Params

  12. val emptyLevels: Array[Nothing]

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  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
    AnyRef → Any

  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. def finalize(): Unit

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

  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
    AnyRef → Any

  22. def getDataType: DataType

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  23. def getDataTypeStr: String

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

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    Definition Classes
    Params

  25. def getInputCol: String

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    Definition Classes
    HasInputCol

  26. def getLevels: Array[_]

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

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    Definition Classes
    Params

  28. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  31. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  32. def hasParent: Boolean

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    Definition Classes
    Model

  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. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  38. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  40. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  41. val levels: ArrayParam

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    Levels in categorical array

  42. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  49. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  55. final def notify(): Unit

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    Definition Classes
    AnyRef

  56. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  57. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  59. var parent: Estimator[ValueIndexerModel]

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    Definition Classes
    Model

  60. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  61. final def set(paramPair: ParamPair[_]): ValueIndexerModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  62. final def set(param: String, value: Any): ValueIndexerModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  64. def setDataType(value: DataType): ValueIndexerModel.this.type

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  65. def setDataTypeStr(value: String): ValueIndexerModel.this.type

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  66. final def setDefault(paramPairs: ParamPair[_]*): ValueIndexerModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  68. def setInputCol(value: String): ValueIndexerModel.this.type

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    Definition Classes
    HasInputCol

  69. def setLevels(value: Array[_]): ValueIndexerModel.this.type

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  70. def setOutputCol(value: String): ValueIndexerModel.this.type

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    Definition Classes
    HasOutputCol

  71. def setParent(parent: Estimator[ValueIndexerModel]): ValueIndexerModel

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    Definition Classes
    Model

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

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    Definition Classes
    AnyRef

  73. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  74. def transform(dataset: Dataset[_]): DataFrame

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    Transform the input column to categorical

    Transform the input column to categorical

    Definition Classes
    ValueIndexerModel → Transformer

  75. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  76. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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

  77. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ValueIndexerModel → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  79. val uid: String

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    Definition Classes
    ValueIndexerModel → Identifiable

  80. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  83. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from ComplexParamsWritable

Inherited from ValueIndexerParams

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from Model[ValueIndexerModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters

Parameter setters

Parameter getters

Members