Package viam.app.v1

Interface AppOuterClass.UpdateMLTrainingMetadataOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder
All Known Implementing Classes:
AppOuterClass.UpdateMLTrainingMetadata, AppOuterClass.UpdateMLTrainingMetadata.Builder
Enclosing class:
AppOuterClass
public static interface AppOuterClass.UpdateMLTrainingMetadataOrBuilder extends com.google.protobuf.MessageLiteOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    String
    getDeploymentModularResources(int index)
    Colon-delimited triplets of components or services from the registry used when model_framework is MODEL_FRAMEWORK_REGISTRY.
    com.google.protobuf.ByteString
    getDeploymentModularResourcesBytes(int index)
    Colon-delimited triplets of components or services from the registry used when model_framework is MODEL_FRAMEWORK_REGISTRY.
    int
    getDeploymentModularResourcesCount()
    Colon-delimited triplets of components or services from the registry used when model_framework is MODEL_FRAMEWORK_REGISTRY.
    List<String>
    getDeploymentModularResourcesList()
    Colon-delimited triplets of components or services from the registry used when model_framework is MODEL_FRAMEWORK_REGISTRY.
    boolean
    getDraft()
    bool draft = 3 [json_name = "draft"];
    MlTraining.ModelFramework
    getModelFramework()
    .viam.app.mltraining.v1.ModelFramework model_framework = 2 [json_name = "modelFramework"];
    int
    getModelFrameworkValue()
    .viam.app.mltraining.v1.ModelFramework model_framework = 2 [json_name = "modelFramework"];
    MlTraining.ModelType
    getModelType()
    .viam.app.mltraining.v1.ModelType model_type = 1 [json_name = "modelType"];
    int
    getModelTypeValue()
    .viam.app.mltraining.v1.ModelType model_type = 1 [json_name = "modelType"];

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    getDefaultInstanceForType, isInitialized

  • Method Details

    • getModelTypeValue

      int getModelTypeValue()
      .viam.app.mltraining.v1.ModelType model_type = 1 [json_name = "modelType"];
      Returns:
      The enum numeric value on the wire for modelType.

    • getModelType

      MlTraining.ModelType getModelType()
      .viam.app.mltraining.v1.ModelType model_type = 1 [json_name = "modelType"];
      Returns:
      The modelType.

    • getModelFrameworkValue

      int getModelFrameworkValue()
      .viam.app.mltraining.v1.ModelFramework model_framework = 2 [json_name = "modelFramework"];
      Returns:
      The enum numeric value on the wire for modelFramework.

    • getModelFramework

      MlTraining.ModelFramework getModelFramework()
      .viam.app.mltraining.v1.ModelFramework model_framework = 2 [json_name = "modelFramework"];
      Returns:
      The modelFramework.

    • getDraft

      boolean getDraft()
      bool draft = 3 [json_name = "draft"];
      Returns:
      The draft.

    • getDeploymentModularResourcesList

      List<String> getDeploymentModularResourcesList()
       Colon-delimited triplets of components or services from the registry used when
 model_framework is MODEL_FRAMEWORK_REGISTRY. This ties the ML model file to the
 associated component or service that consumes the files and should be deployed
 along with the model.
      repeated string deployment_modular_resources = 4 [json_name = "deploymentModularResources"];
      Returns:
      A list containing the deploymentModularResources.

    • getDeploymentModularResourcesCount

      int getDeploymentModularResourcesCount()
       Colon-delimited triplets of components or services from the registry used when
 model_framework is MODEL_FRAMEWORK_REGISTRY. This ties the ML model file to the
 associated component or service that consumes the files and should be deployed
 along with the model.
      repeated string deployment_modular_resources = 4 [json_name = "deploymentModularResources"];
      Returns:
      The count of deploymentModularResources.

    • getDeploymentModularResources

      String getDeploymentModularResources(int index)
       Colon-delimited triplets of components or services from the registry used when
 model_framework is MODEL_FRAMEWORK_REGISTRY. This ties the ML model file to the
 associated component or service that consumes the files and should be deployed
 along with the model.
      repeated string deployment_modular_resources = 4 [json_name = "deploymentModularResources"];
      Parameters:
      index - The index of the element to return.
      Returns:
      The deploymentModularResources at the given index.

    • getDeploymentModularResourcesBytes

      com.google.protobuf.ByteString getDeploymentModularResourcesBytes(int index)
       Colon-delimited triplets of components or services from the registry used when
 model_framework is MODEL_FRAMEWORK_REGISTRY. This ties the ML model file to the
 associated component or service that consumes the files and should be deployed
 along with the model.
      repeated string deployment_modular_resources = 4 [json_name = "deploymentModularResources"];
      Parameters:
      index - The index of the element to return.
      Returns:
      The deploymentModularResources at the given index.