Packages

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

Extracts several ngrams

Linear Supertypes
SynapseMLLogging, 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. SynapseMLLogging
  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. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  15. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  16. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  17. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  18. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  19. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  20. val lengths: TypedIntArrayParam
  21. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  22. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  23. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  24. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  25. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  26. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  27. val outputCol: Param[String]

    The name of the output column

    The name of the output column

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

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

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