Uses of Class
com.google.cloud.visionai.v1.VertexCustomConfig.Builder
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Uses of VertexCustomConfig.Builder in com.google.cloud.visionai.v1
Methods in com.google.cloud.visionai.v1 that return VertexCustomConfig.BuilderModifier and TypeMethodDescriptionVertexCustomConfig.Builder.clear()VertexCustomConfig.Builder.clearAttachApplicationMetadata()If true, the prediction request received by custom model will also contain metadata with the following schema: 'appPlatformMetadata': { 'ingestionTime': DOUBLE; (UNIX timestamp) 'application': STRING; 'instanceId': STRING; 'node': STRING; 'processor': STRING; }VertexCustomConfig.Builder.clearDedicatedResources()A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.VertexCustomConfig.Builder.clearDynamicConfigInputTopic()Optional.VertexCustomConfig.Builder.clearMaxPredictionFps()The max prediction frame per second.VertexCustomConfig.Builder.clearPostProcessingCloudFunction()If not empty, the prediction result will be sent to the specified cloud function for post processingProcessorConfig.Builder.getVertexCustomConfigBuilder()Configs of Vertex Custom processor.VertexCustomConfig.Builder.mergeDedicatedResources(DedicatedResources value) A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.VertexCustomConfig.Builder.mergeFrom(VertexCustomConfig other) VertexCustomConfig.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) VertexCustomConfig.Builder.mergeFrom(com.google.protobuf.Message other) static VertexCustomConfig.BuilderVertexCustomConfig.newBuilder()static VertexCustomConfig.BuilderVertexCustomConfig.newBuilder(VertexCustomConfig prototype) VertexCustomConfig.newBuilderForType()protected VertexCustomConfig.BuilderVertexCustomConfig.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) VertexCustomConfig.Builder.setAttachApplicationMetadata(boolean value) If true, the prediction request received by custom model will also contain metadata with the following schema: 'appPlatformMetadata': { 'ingestionTime': DOUBLE; (UNIX timestamp) 'application': STRING; 'instanceId': STRING; 'node': STRING; 'processor': STRING; }VertexCustomConfig.Builder.setDedicatedResources(DedicatedResources value) A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.VertexCustomConfig.Builder.setDedicatedResources(DedicatedResources.Builder builderForValue) A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.VertexCustomConfig.Builder.setDynamicConfigInputTopic(String value) Optional.VertexCustomConfig.Builder.setDynamicConfigInputTopicBytes(com.google.protobuf.ByteString value) Optional.VertexCustomConfig.Builder.setMaxPredictionFps(int value) The max prediction frame per second.VertexCustomConfig.Builder.setPostProcessingCloudFunction(String value) If not empty, the prediction result will be sent to the specified cloud function for post processingVertexCustomConfig.Builder.setPostProcessingCloudFunctionBytes(com.google.protobuf.ByteString value) If not empty, the prediction result will be sent to the specified cloud function for post processingVertexCustomConfig.toBuilder()Methods in com.google.cloud.visionai.v1 with parameters of type VertexCustomConfig.BuilderModifier and TypeMethodDescriptionProcessorConfig.Builder.setVertexCustomConfig(VertexCustomConfig.Builder builderForValue) Configs of Vertex Custom processor.