Class

ai.deepsense.deeplang.params.wrappers.spark

DoubleArrayParamWrapper

Related Doc: package spark

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class DoubleArrayParamWrapper[P <: org.apache.spark.ml.param.Params] extends MultipleNumericParam with ForwardSparkParamWrapper[P, Array[Double]]

Linear Supertypes
ForwardSparkParamWrapper[P, Array[Double]], SparkParamWrapper[P, Array[Double], Array[Double]], MultipleNumericParam, Serializable, Serializable, Product, Equals, Param[Array[Double]], AnyRef, Any
Known Subclasses
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Inherited
  1. DoubleArrayParamWrapper
  2. ForwardSparkParamWrapper
  3. SparkParamWrapper
  4. MultipleNumericParam
  5. Serializable
  6. Serializable
  7. Product
  8. Equals
  9. Param
  10. AnyRef
  11. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new DoubleArrayParamWrapper(name: String, description: Option[String], sparkParamGetter: (P) ⇒ DoubleArrayParam, validator: Validator[Array[Double]] = ...)

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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: Array[Double]): ParamPair[Array[Double]]

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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: Array[Double])(schema: StructType): Array[Double]

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

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    Definition Classes
    SparkParamWrapper
  11. val description: Option[String]

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  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
    MultipleNumericParamParam
  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 name: String

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

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    Definition Classes
    AnyRef
  22. def nestedWrappers: Seq[SparkParamWrapper[_, _, _]]

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    returns

    Wrappers for nested parameters

    Definition Classes
    SparkParamWrapper
  23. final def notify(): Unit

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    Definition Classes
    AnyRef
  24. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  25. val parameterType: ParameterType.Value

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    Definition Classes
    MultipleNumericParamParam
  26. def replicate(name: String): DoubleArrayParamWrapper[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
    DoubleArrayParamWrapperMultipleNumericParamParam
  27. def serializeDefault(default: Array[Double]): 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
  28. def sparkParam(sparkEntity: org.apache.spark.ml.param.Params): org.apache.spark.ml.param.Param[Array[Double]]

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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
  29. val sparkParamGetter: (P) ⇒ DoubleArrayParam

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

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    Definition Classes
    AnyRef
  31. 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
  32. def toString(): String

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    Definition Classes
    Param → AnyRef → Any
  33. def validate(values: Array[Double]): Vector[DeepLangException]

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    Definition Classes
    MultipleNumericParamParam
  34. val validator: Validator[Array[Double]]

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  35. def valueFromJson(jsValue: JsValue, graphReader: GraphReader): Array[Double]

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    Definition Classes
    MultipleNumericParamParam
  36. def valueToJson(value: Array[Double]): JsValue

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    Definition Classes
    MultipleNumericParamParam
  37. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  38. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  39. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from ForwardSparkParamWrapper[P, Array[Double]]

Inherited from SparkParamWrapper[P, Array[Double], Array[Double]]

Inherited from MultipleNumericParam

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Param[Array[Double]]

Inherited from AnyRef

Inherited from Any

Ungrouped