Uses of Interface
org.apache.camel.builder.endpoint.dsl.TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder

Packages that use TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder

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

Uses of TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder in org.apache.camel.builder.endpoint

Methods in org.apache.camel.builder.endpoint that return TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder

Modifier and Type	Method	Description
static TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	StaticEndpointBuilders.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
static TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	StaticEndpointBuilders.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

Uses of TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder in org.apache.camel.builder.endpoint.dsl

Methods in org.apache.camel.builder.endpoint.dsl that return TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder

Modifier and Type	Method	Description
default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	TensorFlowServingEndpointBuilderFactory.AdvancedTensorFlowServingEndpointBuilder.basic()
default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder.credentials(io.grpc.ChannelCredentials credentials)	The credentials of the client.
default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder.credentials(String credentials)	The credentials of the client.
static TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	TensorFlowServingEndpointBuilderFactory.endpointBuilder(String componentName, String path)
default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder.modelName(String modelName)	Required servable name.
default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder.modelVersion(Long modelVersion)	Optional choice of which version of the model to use.
default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder.modelVersion(String modelVersion)	Optional choice of which version of the model to use.
default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder.modelVersionLabel(String modelVersionLabel)	Optional choice of which version of the model to use.
default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder.signatureName(String signatureName)	A named signature to evaluate.
default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder.target(String target)	The target URI of the client.
default TensorFlowServingEndpointBuilderFactory.TensorFlowServingEndpointBuilder	TensorFlowServingEndpointBuilderFactory.TensorFlowServingBuilders.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	TensorFlowServingEndpointBuilderFactory.TensorFlowServingBuilders.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