Class/Object

ksb.csle.component.operator.analysis

SparkMLPredictOperator

Related Docs: object SparkMLPredictOperator | package analysis

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class SparkMLPredictOperator extends BaseGenericOperator[StreamOperatorInfo, DataFrame]

:: ApplicationDeveloperApi ::

Operator that performs predition with ML model in the given dataframe.

Linear Supertypes
BaseGenericOperator[StreamOperatorInfo, DataFrame], BaseGenericMutantOperator[StreamOperatorInfo, DataFrame, DataFrame], BaseDoer, Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. SparkMLPredictOperator
  2. BaseGenericOperator
  3. BaseGenericMutantOperator
  4. BaseDoer
  5. Logging
  6. Serializable
  7. Serializable
  8. AnyRef
  9. Any
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Visibility
  1. Public
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Instance Constructors

  1. new SparkMLPredictOperator(o: StreamOperatorInfo)

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    o

    Object that contains message ksb.csle.common.proto.StreamOperatorProto.SparkMLStreamPredictOperatorInfo SparkMLStreamPredictOperatorInfo contains attributes as follows:

    • clsNameForModel: Class name for loading ml model. "org.apache.spark.ml.PipelineModel" is highly recommended.(required)
    • modelPath: Path for ml model. The path should contain metadata and stage directory in the path (required).

    SparkMLStreamPredictOperatorInfo

    message SparkMLStreamPredictOperatorInfo {
    required string clsNameForModel = 1;
    required string modelPath = 2;
    }

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

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    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  10. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  12. val logger: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  13. val model: PipelineModel

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

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    Definition Classes
    AnyRef
  15. final def notify(): Unit

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

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    Definition Classes
    AnyRef
  17. def operate(df: DataFrame): DataFrame

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    execute prediction with SparkML Model.

    execute prediction with SparkML Model.

    df

    Input dataframe

    returns

    DataFrame Output dataframe

    Definition Classes
    SparkMLPredictOperator → BaseGenericOperator → BaseGenericMutantOperator
  18. def predict(df: DataFrame): DataFrame

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  19. val predictorInfo: SparkMLStreamPredictOperatorInfo

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  20. def stop: Unit

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    Definition Classes
    BaseGenericOperator → BaseGenericMutantOperator
  21. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  22. def toString(): String

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    Definition Classes
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  23. final def wait(): Unit

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

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

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    Definition Classes
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    Annotations
    @throws( ... )

Inherited from BaseGenericOperator[StreamOperatorInfo, DataFrame]

Inherited from BaseGenericMutantOperator[StreamOperatorInfo, DataFrame, DataFrame]

Inherited from BaseDoer

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped