Packages

class MultiNGram extends Transformer with HasInputCol with HasOutputCol with Wrappable with DefaultParamsWritable with BasicLogging

Extracts several ngrams

Linear Supertypes
BasicLogging, DefaultParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, HasOutputCol, HasInputCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
Inherited
  1. MultiNGram
  2. BasicLogging
  3. DefaultParamsWritable
  4. MLWritable
  5. Wrappable
  6. RWrappable
  7. PythonWrappable
  8. BaseWrappable
  9. HasOutputCol
  10. HasInputCol
  11. Transformer
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new MultiNGram()
  2. new MultiNGram(uid: String)

    uid

    The id of the module

Value Members

  1. final def clear(param: Param[_]): MultiNGram.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): MultiNGram
    Definition Classes
    MultiNGram → Transformer → PipelineStage → Params
  3. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  4. def explainParams(): String
    Definition Classes
    Params
  5. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  6. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  7. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  8. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  9. def getInputCol: String

    Definition Classes
    HasInputCol
  10. def getLengths: Seq[Int]
  11. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  12. def getOutputCol: String

    Definition Classes
    HasOutputCol
  13. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  14. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  15. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  16. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  17. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  18. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  19. val lengths: TypedArrayParam[Int]
  20. def logClass(): Unit
    Definition Classes
    BasicLogging
  21. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  22. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  23. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  24. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  25. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  26. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  27. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  28. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  29. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  30. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  31. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  32. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  33. final def set[T](param: Param[T], value: T): MultiNGram.this.type
    Definition Classes
    Params
  34. def setInputCol(value: String): MultiNGram.this.type

    Definition Classes
    HasInputCol
  35. def setLengths(v: Seq[Int]): MultiNGram.this.type
  36. def setOutputCol(value: String): MultiNGram.this.type

    Definition Classes
    HasOutputCol
  37. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  38. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    MultiNGram → Transformer
  39. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  40. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  41. def transformSchema(schema: StructType): StructType
    Definition Classes
    MultiNGram → PipelineStage
  42. val uid: String
    Definition Classes
    MultiNGram → BasicLogging → Identifiable
  43. val ver: String
    Definition Classes
    BasicLogging
  44. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable