Class

ai.deepsense.deeplang.params.wrappers.spark

ColumnSelectorParamWrapper

Related Doc: package spark

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class ColumnSelectorParamWrapper[P <: org.apache.spark.ml.param.Params] extends ColumnSelectorParam with SparkParamWrapper[P, Array[String], MultipleColumnSelection]

Linear Supertypes
SparkParamWrapper[P, Array[String], MultipleColumnSelection], ColumnSelectorParam, Serializable, Serializable, Product, Equals, AbstractColumnSelectorParam[MultipleColumnSelection], ParamWithJsFormat[MultipleColumnSelection], Param[MultipleColumnSelection], AnyRef, Any
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Inherited
  1. ColumnSelectorParamWrapper
  2. SparkParamWrapper
  3. ColumnSelectorParam
  4. Serializable
  5. Serializable
  6. Product
  7. Equals
  8. AbstractColumnSelectorParam
  9. ParamWithJsFormat
  10. Param
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ColumnSelectorParamWrapper(name: String, description: Option[String], sparkParamGetter: (P) ⇒ StringArrayParam, portIndex: Int = 0)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. def ->(value: MultipleColumnSelection): ParamPair[MultipleColumnSelection]

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    Definition Classes
    Param

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

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def canEqual(other: Any): Boolean

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    Definition Classes
    Param

  7. def clone(): AnyRef

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

  8. def constraints: String

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    Definition Classes
    Param

  9. def convert(value: MultipleColumnSelection)(schema: StructType): Array[String]

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    Convert deeplang parameter value to wrapped Spark parameter value.

    Convert deeplang parameter value to wrapped Spark parameter value.

    value

    deeplang parameter value

    schema

    DataFrame schema, used in column selectors to extract column names

    returns

    Spark parameter value

    Definition Classes
    ColumnSelectorParamWrapper → SparkParamWrapper

  10. def convertAny(value: Any)(schema: StructType): Array[String]

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    Definition Classes
    SparkParamWrapper

  11. val description: Option[String]

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    Definition Classes
    ColumnSelectorParamWrapper → ColumnSelectorParam → Param

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

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    Definition Classes
    AnyRef

  13. def equals(other: Any): Boolean

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    Definition Classes
    Param → AnyRef → Any

  14. def extraJsFields: Map[String, JsValue]

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    Subclasses should overwrite this method if they want to add custom fields to json description.

    Subclasses should overwrite this method if they want to add custom fields to json description.

    Attributes
    protected
    Definition Classes
    AbstractColumnSelectorParam → Param

  15. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    AnyRef → Any

  17. def hashCode(): Int

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    Definition Classes
    Param → AnyRef → Any

  18. val isGriddable: Boolean

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    Definition Classes
    Param

  19. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  20. val isSingle: Boolean

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    Tells if this selectors selects single column or many.

    Tells if this selectors selects single column or many.

    Definition Classes
    ColumnSelectorParam → AbstractColumnSelectorParam

  21. val name: String

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    Definition Classes
    ColumnSelectorParamWrapper → ColumnSelectorParam → Param

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

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    Definition Classes
    AnyRef

  23. def nestedWrappers: Seq[SparkParamWrapper[_, _, _]]

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    returns

    Wrappers for nested parameters

    Definition Classes
    SparkParamWrapper

  24. final def notify(): Unit

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    Definition Classes
    AnyRef

  25. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  26. val parameterType: ParameterType.Value

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    Definition Classes
    ColumnSelectorParam → Param

  27. val portIndex: Int

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    Input port index of the data source.

    Input port index of the data source.

    Definition Classes
    ColumnSelectorParamWrapper → ColumnSelectorParam → AbstractColumnSelectorParam

  28. def replicate(name: String): ColumnSelectorParamWrapper[P]

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    Used to extract public parameters in custom transformer.

    Used to extract public parameters in custom transformer.

    name

    name of replicated parameter

    returns

    replicated parameter

    Definition Classes
    ColumnSelectorParamWrapper → ColumnSelectorParam → Param

  29. def serializeDefault(default: MultipleColumnSelection): JsValue

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    Describes default serialization of default values.

    Describes default serialization of default values.

    default

    Default value of parameter

    Attributes
    protected
    Definition Classes
    Param

  30. def sparkParam(sparkEntity: org.apache.spark.ml.param.Params): org.apache.spark.ml.param.Param[Array[String]]

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    This method extracts wrapped Spark parameter from Params, using a function defined as sparkParamGetter.

    This method extracts wrapped Spark parameter from Params, using a function defined as sparkParamGetter. The method is used in ParamsWithSparkWrappers to get parameter values.

    sparkEntity

    Spark params

    returns

    Wrapped Spark parameter

    Definition Classes
    SparkParamWrapper

  31. val sparkParamGetter: (P) ⇒ StringArrayParam

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    This function should extract wrapped parameter from Spark params of type P.

    This function should extract wrapped parameter from Spark params of type P.

    Definition Classes
    ColumnSelectorParamWrapper → SparkParamWrapper

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

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    Definition Classes
    AnyRef

  33. final def toJson(maybeDefault: Option[Any]): JsObject

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    Describes json representation of this parameter.

    Describes json representation of this parameter.

    maybeDefault

    Optional default value of parameter. Should be of type Option[T], but we need to receive Any because Params have to use this method without knowing T.

    Definition Classes
    Param

  34. def toString(): String

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    Definition Classes
    Param → AnyRef → Any

  35. def validate(value: MultipleColumnSelection): Vector[DeepLangException]

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    Definition Classes
    Param

  36. def valueFromJson(jsValue: JsValue, graphReader: GraphReader): MultipleColumnSelection

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    Definition Classes
    ParamWithJsFormat → Param

  37. def valueToJson(value: MultipleColumnSelection): JsValue

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    Definition Classes
    ParamWithJsFormat → Param

  38. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from SparkParamWrapper[P, Array[String], MultipleColumnSelection]

Inherited from ColumnSelectorParam

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AbstractColumnSelectorParam[MultipleColumnSelection]

Inherited from ParamWithJsFormat[MultipleColumnSelection]

Inherited from Param[MultipleColumnSelection]

Inherited from AnyRef

Inherited from Any

Ungrouped