Packages

c

org.apache.spark.ml.mleap.feature

MultinomialLabeler

class MultinomialLabeler extends Transformer with HasFeaturesCol with HasProbabilitiesCol with HasLabelsCol

Created by hollinwilkins on 1/18/17.

Linear Supertypes
HasLabelsCol, HasProbabilitiesCol, HasFeaturesCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Ordering
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  2. By Inheritance
Inherited
  1. MultinomialLabeler
  2. HasLabelsCol
  3. HasProbabilitiesCol
  4. HasFeaturesCol
  5. Transformer
  6. PipelineStage
  7. Logging
  8. Params
  9. Serializable
  10. Serializable
  11. Identifiable
  12. AnyRef
  13. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new MultinomialLabeler(uid: String = ..., model: MultinomialLabelerModel)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. final def clear(param: Param[_]): MultinomialLabeler.this.type
    Definition Classes
    Params
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. def copy(extra: ParamMap): Transformer
    Definition Classes
    MultinomialLabeler → Transformer → PipelineStage → Params
  9. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  10. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  13. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  14. def explainParams(): String
    Definition Classes
    Params
  15. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  16. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  17. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  18. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  19. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  20. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  21. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  22. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  23. final def getLabelsCol: String

    Definition Classes
    HasLabelsCol
  24. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  25. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  26. final def getProbabilitiesCol: String

    Definition Classes
    HasProbabilitiesCol
  27. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  28. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  29. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  30. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  31. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  32. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  33. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  34. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  35. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  36. final val labelsCol: Param[String]

    Param for input column name.

    Param for input column name.

    Definition Classes
    HasLabelsCol
  37. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  38. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  39. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  40. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  41. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  42. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  43. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  44. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  45. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  46. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. val model: MultinomialLabelerModel
  50. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  51. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  52. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  53. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  54. final val probabilitiesCol: Param[String]

    Param for input column name.

    Param for input column name.

    Definition Classes
    HasProbabilitiesCol
  55. final def set(paramPair: ParamPair[_]): MultinomialLabeler.this.type
    Attributes
    protected
    Definition Classes
    Params
  56. final def set(param: String, value: Any): MultinomialLabeler.this.type
    Attributes
    protected
    Definition Classes
    Params
  57. final def set[T](param: Param[T], value: T): MultinomialLabeler.this.type
    Definition Classes
    Params
  58. final def setDefault(paramPairs: ParamPair[_]*): MultinomialLabeler.this.type
    Attributes
    protected
    Definition Classes
    Params
  59. final def setDefault[T](param: Param[T], value: T): MultinomialLabeler.this.type
    Attributes
    protected
    Definition Classes
    Params
  60. def setFeaturesCol(value: String): MultinomialLabeler.this.type
  61. def setLabelsCol(value: String): MultinomialLabeler.this.type
  62. def setProbabilitiesCol(value: String): MultinomialLabeler.this.type
  63. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  64. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  65. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    MultinomialLabeler → Transformer
    Annotations
    @Since( "2.0.0" )
  66. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  67. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  68. def transformSchema(schema: StructType): StructType
    Definition Classes
    MultinomialLabeler → PipelineStage
    Annotations
    @DeveloperApi()
  69. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  70. val uid: String
    Definition Classes
    MultinomialLabeler → Identifiable
  71. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  72. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  73. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from HasLabelsCol

Inherited from HasProbabilitiesCol

Inherited from HasFeaturesCol

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

Ungrouped