Class

io.deepsense.sparkutils.ML

Transformer

Related Doc: package ML

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abstract class Transformer extends org.apache.spark.ml.Transformer

Linear Supertypes
org.apache.spark.ml.Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. Transformer
  2. Transformer
  3. PipelineStage
  4. Logging
  5. Params
  6. Serializable
  7. Serializable
  8. Identifiable
  9. AnyRef
  10. Any
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Visibility
  1. Public
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Instance Constructors

  1. new Transformer()

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Abstract Value Members

  1. abstract def copy(extra: ParamMap): org.apache.spark.ml.Transformer

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    Definition Classes
    Transformer → PipelineStage → Params

  2. abstract def transformDF(dataFrame: DataFrame): DataFrame

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  3. abstract def transformSchema(schema: StructType): StructType

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    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  4. abstract val uid: String

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    Definition Classes
    Identifiable

Concrete 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[_]): Transformer.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 copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  13. def explainParams(): String

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    Definition Classes
    Params

  14. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  16. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  23. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  24. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  25. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  27. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  29. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  30. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  37. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  43. final def notify(): Unit

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    Definition Classes
    AnyRef

  44. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  46. final def set(paramPair: ParamPair[_]): Transformer.this.type

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    Attributes
    protected
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    Params

  47. final def set(param: String, value: Any): Transformer.this.type

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

  49. final def setDefault(paramPairs: ParamPair[_]*): Transformer.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    AnyRef

  52. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Definition Classes
    Transformer → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  57. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def validateParams(): Unit

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    Definition Classes
    Params
    Annotations
    @deprecated
    Deprecated

    (Since version 2.0.0) Will be removed in 2.1.0. Checks should be merged into transformSchema.

Inherited from org.apache.spark.ml.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

Ungrouped