Trait

org.apache.spark.ml.classification

OpNaiveBayesParams

Related Doc: package classification

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trait OpNaiveBayesParams extends NaiveBayesParams

Linear Supertypes
NaiveBayesParams, HasWeightCol, PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
OpNaiveBayes
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Inherited
  1. OpNaiveBayesParams
  2. NaiveBayesParams
  3. HasWeightCol
  4. PredictorParams
  5. HasPredictionCol
  6. HasFeaturesCol
  7. HasLabelCol
  8. Params
  9. Serializable
  10. Serializable
  11. Identifiable
  12. AnyRef
  13. Any
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Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params

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    Definition Classes
    Params

  2. abstract val uid: String

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    Definition Classes
    Identifiable

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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    AnyRef → Any

  2. final def ##(): Int

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  3. final def $[T](param: Param[T]): T

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    protected
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    Params

  4. final def ==(arg0: Any): Boolean

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    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Any

  6. final def clear(param: Param[_]): OpNaiveBayesParams.this.type

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    Params

  7. def clone(): AnyRef

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    protected[java.lang]
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    AnyRef
    Annotations
    @throws( ... )

  8. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Params

  9. final def defaultCopy[T <: Params](extra: ParamMap): T

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    protected
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    Params

  10. final def eq(arg0: AnyRef): Boolean

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    AnyRef

  11. def equals(arg0: Any): Boolean

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  12. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  13. def explainParams(): String

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    Definition Classes
    Params

  14. final def extractParamMap(): ParamMap

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    Params

  15. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  16. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  17. def finalize(): Unit

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    protected[java.lang]
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    AnyRef
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    @throws( classOf[java.lang.Throwable] )

  18. final def get[T](param: Param[T]): Option[T]

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    Params

  19. final def getClass(): Class[_]

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  20. final def getDefault[T](param: Param[T]): Option[T]

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    Params

  21. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  22. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  23. final def getModelType: String

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    Definition Classes
    NaiveBayesParams

  24. final def getOrDefault[T](param: Param[T]): T

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    Params

  25. def getParam(paramName: String): Param[Any]

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    Params

  26. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  27. final def getSmoothing: Double

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    Definition Classes
    NaiveBayesParams

  28. final def getWeightCol: String

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    Definition Classes
    HasWeightCol

  29. final def hasDefault[T](param: Param[T]): Boolean

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    Params

  30. def hasParam(paramName: String): Boolean

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    Params

  31. def hashCode(): Int

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  32. final def isDefined(param: Param[_]): Boolean

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    Params

  33. final def isInstanceOf[T0]: Boolean

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    Any

  34. final def isSet(param: Param[_]): Boolean

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    Params

  35. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  36. final val modelType: Param[String]

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    Definition Classes
    NaiveBayesParams

  37. final def ne(arg0: AnyRef): Boolean

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    AnyRef

  38. final def notify(): Unit

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  39. final def notifyAll(): Unit

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  40. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  41. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  42. final def set(paramPair: ParamPair[_]): OpNaiveBayesParams.this.type

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  43. final def set(param: String, value: Any): OpNaiveBayesParams.this.type

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    Params

  44. final def set[T](param: Param[T], value: T): OpNaiveBayesParams.this.type

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    Definition Classes
    Params

  45. final def setDefault(paramPairs: ParamPair[_]*): OpNaiveBayesParams.this.type

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    Params

  46. final def setDefault[T](param: Param[T], value: T): OpNaiveBayesParams.this.type

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    protected
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    Params

  47. final val smoothing: DoubleParam

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    Definition Classes
    NaiveBayesParams

  48. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  49. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  50. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

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    Attributes
    protected
    Definition Classes
    PredictorParams

  51. final def wait(): Unit

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    @throws( ... )

  52. final def wait(arg0: Long, arg1: Int): Unit

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  53. final def wait(arg0: Long): Unit

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    @throws( ... )

  54. final val weightCol: Param[String]

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    Definition Classes
    HasWeightCol

Inherited from NaiveBayesParams

Inherited from HasWeightCol

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped