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
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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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Instance Constructors

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

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def $[T](param: Param[T]): T

    Attributes
    protected
    Definition Classes
    Params

  5. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  6. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. final def clear(param: Param[_]): MultinomialLabeler.this.type

    Definition Classes
    Params

  9. def clone(): AnyRef

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

  10. def copy(extra: ParamMap): Transformer

    Definition Classes
    MultinomialLabeler → Transformer → PipelineStage → Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  15. def explainParam(param: Param[_]): String

    Definition Classes
    Params

  16. def explainParams(): String

    Definition Classes
    Params

  17. final def extractParamMap(): ParamMap

    Definition Classes
    Params

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

    Definition Classes
    Params

  19. final val featuresCol: Param[String]

    Definition Classes
    HasFeaturesCol

  20. def finalize(): Unit

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

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

    Definition Classes
    Params

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

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  24. final def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol

  25. final def getLabelsCol: String

    Definition Classes
    HasLabelsCol

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

    Definition Classes
    Params

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

    Definition Classes
    Params

  28. final def getProbabilitiesCol: String

    Definition Classes
    HasProbabilitiesCol

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

    Definition Classes
    Params

  30. def hasParam(paramName: String): Boolean

    Definition Classes
    Params

  31. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  32. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Attributes
    protected
    Definition Classes
    Logging

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

    Definition Classes
    Params

  34. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    Params

  36. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  37. final val labelsCol: Param[String]

    Param for input column name.

    Param for input column name.

    Definition Classes
    HasLabelsCol

  38. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  45. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  50. val model: MultinomialLabelerModel

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

    Definition Classes
    AnyRef

  52. final def notify(): Unit

    Definition Classes
    AnyRef

  53. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    Params

  55. final val probabilitiesCol: Param[String]

    Param for input column name.

    Param for input column name.

    Definition Classes
    HasProbabilitiesCol

  56. final def set(paramPair: ParamPair[_]): MultinomialLabeler.this.type

    Attributes
    protected
    Definition Classes
    Params

  57. final def set(param: String, value: Any): MultinomialLabeler.this.type

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Params

  59. final def setDefault(paramPairs: ParamPair[_]*): MultinomialLabeler.this.type

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

  61. def setFeaturesCol(value: String): MultinomialLabeler.this.type

  62. def setLabelsCol(value: String): MultinomialLabeler.this.type

  63. def setProbabilitiesCol(value: String): MultinomialLabeler.this.type

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

    Definition Classes
    AnyRef

  65. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

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

    Definition Classes
    MultinomialLabeler → Transformer
    Annotations
    @Since( "2.0.0" )

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

    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  69. def transformSchema(schema: StructType): StructType

    Definition Classes
    MultinomialLabeler → PipelineStage
    Annotations
    @DeveloperApi()

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

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  71. val uid: String

    Definition Classes
    MultinomialLabeler → Identifiable

  72. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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