Packages

c

com.johnsnowlabs.nlp

RecursivePipeline

class RecursivePipeline extends Pipeline

Linear Supertypes
Pipeline, MLWritable, Estimator[PipelineModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. RecursivePipeline
  2. Pipeline
  3. MLWritable
  4. Estimator
  5. PipelineStage
  6. Logging
  7. Params
  8. Serializable
  9. Serializable
  10. Identifiable
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RecursivePipeline(pipeline: Pipeline)
  2. new RecursivePipeline(uid: String)
  3. new RecursivePipeline()
  4. new RecursivePipeline(uid: String, baseStages: Array[PipelineStage])

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[_]): RecursivePipeline.this.type
    Definition Classes
    Params
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. def copy(extra: ParamMap): Pipeline
    Definition Classes
    Pipeline → Estimator → PipelineStage → Params
    Annotations
    @Since( "1.4.0" )
  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. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  18. def fit(dataset: Dataset[_]): PipelineModel

    Code Duplication for Spark ML.

    Code Duplication for Spark ML. This is not a good practice, but stages logic is tightly coupled on fit and PipelineModel is private[ml]

    Definition Classes
    RecursivePipeline → Pipeline → Estimator
  19. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[PipelineModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  20. def fit(dataset: Dataset[_], paramMap: ParamMap): PipelineModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  21. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): PipelineModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  22. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  23. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  24. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  25. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  26. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  27. def getStages: Array[PipelineStage]
    Definition Classes
    Pipeline
    Annotations
    @Since( "1.2.0" )
  28. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  29. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  30. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  31. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  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. 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. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  50. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  51. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  52. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  53. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  54. final def set(paramPair: ParamPair[_]): RecursivePipeline.this.type
    Attributes
    protected
    Definition Classes
    Params
  55. final def set(param: String, value: Any): RecursivePipeline.this.type
    Attributes
    protected
    Definition Classes
    Params
  56. final def set[T](param: Param[T], value: T): RecursivePipeline.this.type
    Definition Classes
    Params
  57. final def setDefault(paramPairs: ParamPair[_]*): RecursivePipeline.this.type
    Attributes
    protected
    Definition Classes
    Params
  58. final def setDefault[T](param: Param[T], value: T): RecursivePipeline.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  59. def setStages(value: Array[_ <: PipelineStage]): RecursivePipeline.this.type
    Definition Classes
    Pipeline
    Annotations
    @Since( "1.2.0" )
  60. val stages: Param[Array[PipelineStage]]
    Definition Classes
    Pipeline
    Annotations
    @Since( "1.2.0" )
  61. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  62. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  63. def transformSchema(schema: StructType): StructType
    Definition Classes
    Pipeline → PipelineStage
    Annotations
    @Since( "1.2.0" )
  64. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  65. val uid: String
    Definition Classes
    RecursivePipeline → Pipeline → Identifiable
  66. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  67. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  68. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  69. def write: MLWriter
    Definition Classes
    Pipeline → MLWritable
    Annotations
    @Since( "1.6.0" )

Inherited from Pipeline

Inherited from MLWritable

Inherited from Estimator[PipelineModel]

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