Class/Object

ksb.csle.component.operator.analysis

TensorflowPredictOperator

Related Docs: object TensorflowPredictOperator | package analysis

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class TensorflowPredictOperator extends BaseDataOperator[StreamOperatorInfo, DataFrame]

:: ApplicationDeveloperApi ::

Operator that performs the prediction according to a given tensorflow model.

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

  1. new TensorflowPredictOperator(o: StreamOperatorInfo)

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    o

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

    • modelServerUri: Model location (required)
    • modelName: Model name (required)
    • signatureName: Signature name (required)
    • options: options of tensorflow prediction (repeated)

    TensorflowPredictorInfo

    message TensorflowPredictorInfo {
      required string modelServerUri = 1 [default = "http://ip:port"];
      required string modelName = 2 [default = "target_model_name"];
      required string signatureName = 3 [default = "target_signature_name"];
      repeated PredictOption options = 4;
    }

Value Members

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

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    Definition Classes
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  2. final def ##(): Int

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

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

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    Any
  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
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    @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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  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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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  12. val logger: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  13. final def ne(arg0: AnyRef): Boolean

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

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

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  16. def operate(inputs: DataFrame): DataFrame

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    Operate the tensorflow model prediction.

    Operate the tensorflow model prediction.

    inputs

    Input dataframe

    returns

    DataFrame Output dataframe has prediction output columns.

    Definition Classes
    TensorflowPredictOperator → BaseGenericOperator → BaseGenericMutantOperator
  17. def stop: Unit

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    Close the client connection with model server.

    Close the client connection with model server.

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

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    Definition Classes
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  19. def toString(): String

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  20. final def wait(): Unit

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    @throws( ... )
  21. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  22. final def wait(arg0: Long): Unit

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    Definition Classes
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Inherited from BaseDataOperator[StreamOperatorInfo, DataFrame]

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