Package org.apache.camel.builder.endpoint.dsl

Interface TensorFlowServingEndpointBuilderFactory.TensorFlowServingBuilders

All Known Subinterfaces:
EndpointBuilderFactory
All Known Implementing Classes:
EndpointRouteBuilder, EndpointRouteConfigurationBuilder
Enclosing interface:
TensorFlowServingEndpointBuilderFactory
public static interface TensorFlowServingEndpointBuilderFactory.TensorFlowServingBuilders

  • Method Summary

    Modifier and Type
    Method
    Description
    default TensorFlowServingEndpointBuilderFactory.TensorFlowServingHeaderNameBuilder
    tensorflowServing()
    TensorFlow Serving (camel-tensorflow-serving) Provide access to TensorFlow Serving model servers to run inference with TensorFlow saved models remotely Category: ai Since: 4.10 Maven coordinates: org.apache.camel:camel-tensorflow-serving
    default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder
    tensorflowServing(String path)
    TensorFlow Serving (camel-tensorflow-serving) Provide access to TensorFlow Serving model servers to run inference with TensorFlow saved models remotely Category: ai Since: 4.10 Maven coordinates: org.apache.camel:camel-tensorflow-serving Syntax: tensorflow-serving:api Path parameter: api (required) The TensorFlow Serving API There are 5 enums and the value can be one of: model-status, model-metadata, classify, regress, predict
    default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder
    tensorflowServing(String componentName, String path)
    TensorFlow Serving (camel-tensorflow-serving) Provide access to TensorFlow Serving model servers to run inference with TensorFlow saved models remotely Category: ai Since: 4.10 Maven coordinates: org.apache.camel:camel-tensorflow-serving Syntax: tensorflow-serving:api Path parameter: api (required) The TensorFlow Serving API There are 5 enums and the value can be one of: model-status, model-metadata, classify, regress, predict

  • Method Details

    • tensorflowServing

      default TensorFlowServingEndpointBuilderFactory.TensorFlowServingHeaderNameBuilder tensorflowServing()
      TensorFlow Serving (camel-tensorflow-serving) Provide access to TensorFlow Serving model servers to run inference with TensorFlow saved models remotely Category: ai Since: 4.10 Maven coordinates: org.apache.camel:camel-tensorflow-serving
      Returns:
      the dsl builder for the headers' name.

    • tensorflowServing

      default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder tensorflowServing(String path)
      TensorFlow Serving (camel-tensorflow-serving) Provide access to TensorFlow Serving model servers to run inference with TensorFlow saved models remotely Category: ai Since: 4.10 Maven coordinates: org.apache.camel:camel-tensorflow-serving Syntax: tensorflow-serving:api Path parameter: api (required) The TensorFlow Serving API There are 5 enums and the value can be one of: model-status, model-metadata, classify, regress, predict
      Parameters:
      path - api
      Returns:
      the dsl builder

    • tensorflowServing

      default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder tensorflowServing(String componentName, String path)
      TensorFlow Serving (camel-tensorflow-serving) Provide access to TensorFlow Serving model servers to run inference with TensorFlow saved models remotely Category: ai Since: 4.10 Maven coordinates: org.apache.camel:camel-tensorflow-serving Syntax: tensorflow-serving:api Path parameter: api (required) The TensorFlow Serving API There are 5 enums and the value can be one of: model-status, model-metadata, classify, regress, predict
      Parameters:
      componentName - to use a custom component name for the endpoint instead of the default name
      path - api
      Returns:
      the dsl builder