Class/Object

com.microsoft.ml.spark.featurize

ValueIndexerModel

Related Docs: object ValueIndexerModel | package featurize

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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, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
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. def additionalPythonMethods(): String

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    Definition Classes
    Wrappable
  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. final def clear(param: Param[_]): ValueIndexerModel.this.type

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    Definition Classes
    Params
  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. def copy(extra: ParamMap): ValueIndexerModel

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    Definition Classes
    ValueIndexerModel → Model → Transformer → PipelineStage → Params
  10. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  11. val dataType: Param[String]

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    The datatype of the levels as a jason string

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

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    Attributes
    protected
    Definition Classes
    Params
  13. val emptyLevels: Array[Nothing]

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

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

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

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    Definition Classes
    Params
  17. def explainParams(): String

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    Definition Classes
    Params
  18. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  19. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  20. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  21. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  22. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  23. def getDataType: DataType

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  24. def getDataTypeStr: String

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

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    Definition Classes
    Params
  26. def getInputCol: String

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    Definition Classes
    HasInputCol
  27. def getLevels: Array[_]

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

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    Definition Classes
    Params
  29. def getOutputCol: String

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    Definition Classes
    HasOutputCol
  30. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  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 hasParent: Boolean

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    Definition Classes
    Model
  34. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  35. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  36. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  37. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

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

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    Definition Classes
    Params
  39. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  40. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  41. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  42. val levels: ArrayParam

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    Levels in categorical array

  43. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  50. def logName: String

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

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

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

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

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

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

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

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    Definition Classes
    AnyRef
  58. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  59. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  60. var parent: Estimator[ValueIndexerModel]

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    Definition Classes
    Model
  61. def save(path: String): Unit

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

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

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

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    Definition Classes
    Params
  65. def setDataType(value: DataType): ValueIndexerModel.this.type

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

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

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

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    Attributes
    protected
    Definition Classes
    Params
  69. def setInputCol(value: String): ValueIndexerModel.this.type

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    Definition Classes
    HasInputCol
  70. def setLevels(value: Array[_]): ValueIndexerModel.this.type

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

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    Definition Classes
    HasOutputCol
  72. def setParent(parent: Estimator[ValueIndexerModel]): ValueIndexerModel

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    Definition Classes
    Model
  73. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  74. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  75. 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
  76. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  77. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  78. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ValueIndexerModel → PipelineStage
    Annotations
    @DeveloperApi()
  79. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    Definition Classes
    ValueIndexerModel → Identifiable
  81. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  84. 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 Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped