Packages

class CountSelector extends Estimator[CountSelectorModel] with Wrappable with DefaultParamsWritable with HasInputCol with HasOutputCol with BasicLogging

Drops vector indicies with no nonzero data.

Linear Supertypes
BasicLogging, HasOutputCol, HasInputCol, DefaultParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, Estimator[CountSelectorModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. CountSelector
  2. BasicLogging
  3. HasOutputCol
  4. HasInputCol
  5. DefaultParamsWritable
  6. MLWritable
  7. Wrappable
  8. RWrappable
  9. PythonWrappable
  10. BaseWrappable
  11. Estimator
  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 CountSelector()
  2. new CountSelector(uid: String)

Value Members

  1. final def clear(param: Param[_]): CountSelector.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): CountSelector.this.type
    Definition Classes
    CountSelector → Estimator → 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. def fit(dataset: Dataset[_]): CountSelectorModel
    Definition Classes
    CountSelector → Estimator
  8. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[CountSelectorModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  9. def fit(dataset: Dataset[_], paramMap: ParamMap): CountSelectorModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  10. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): CountSelectorModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  11. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  13. def getInputCol: String

    Definition Classes
    HasInputCol
  14. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  15. def getOutputCol: String

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

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  20. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  21. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  22. def logClass(): Unit
    Definition Classes
    BasicLogging
  23. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  24. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  25. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  26. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  27. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  28. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  29. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  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): CountSelector.this.type
    Definition Classes
    Params
  36. def setInputCol(value: String): CountSelector.this.type

    Definition Classes
    HasInputCol
  37. def setOutputCol(value: String): CountSelector.this.type

    Definition Classes
    HasOutputCol
  38. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  39. def transformSchema(schema: StructType): StructType
    Definition Classes
    CountSelector → PipelineStage
  40. val uid: String
    Definition Classes
    CountSelector → BasicLogging → Identifiable
  41. val ver: String
    Definition Classes
    BasicLogging
  42. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable