class VowpalWabbitInteractions extends Transformer with HasInputCols with HasOutputCol with HasNumBits with HasSumCollisions with Wrappable with ComplexParamsWritable with SynapseMLLogging

This transformer is not intended to be used with VW classifier or regressor, but rather to bring sparse interaction concept to other SparkML learners (e.g. LR).

Linear Supertypes
SynapseMLLogging, ComplexParamsWritable, MLWritable, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, HasSumCollisions, HasNumBits, HasOutputCol, HasInputCols, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. VowpalWabbitInteractions
  2. SynapseMLLogging
  3. ComplexParamsWritable
  4. MLWritable
  5. Wrappable
  6. DotnetWrappable
  7. RWrappable
  8. PythonWrappable
  9. BaseWrappable
  10. HasSumCollisions
  11. HasNumBits
  12. HasOutputCol
  13. HasInputCols
  14. Transformer
  15. PipelineStage
  16. Logging
  17. Params
  18. Serializable
  19. Serializable
  20. Identifiable
  21. AnyRef
  22. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

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

    Definition Classes
    HasInputCols
  11. def getNumBits: Int
    Definition Classes
    HasNumBits
  12. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  13. def getOutputCol: String

    Definition Classes
    HasOutputCol
  14. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  15. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  16. def getSumCollisions: Boolean
    Definition Classes
    HasSumCollisions
  17. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  18. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  19. val inputCols: StringArrayParam

    The names of the inputColumns

    The names of the inputColumns

    Definition Classes
    HasInputCols
  20. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  21. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  22. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  23. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  24. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  25. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  26. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  27. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  28. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  29. val numBits: IntParam
    Definition Classes
    HasNumBits
  30. val outputCol: Param[String]

    The name of the output column

    The name of the output column

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

    Definition Classes
    HasInputCols
  37. def setNumBits(value: Int): VowpalWabbitInteractions.this.type
    Definition Classes
    HasNumBits
  38. def setOutputCol(value: String): VowpalWabbitInteractions.this.type

    Definition Classes
    HasOutputCol
  39. def setSumCollisions(value: Boolean): VowpalWabbitInteractions.this.type
    Definition Classes
    HasSumCollisions
  40. val sumCollisions: BooleanParam
    Definition Classes
    HasSumCollisions
  41. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  42. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    VowpalWabbitInteractions → Transformer
  43. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  44. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  45. def transformSchema(schema: StructType): StructType
    Definition Classes
    VowpalWabbitInteractions → PipelineStage
  46. val uid: String
    Definition Classes
    VowpalWabbitInteractions → SynapseMLLogging → Identifiable
  47. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable