Uses of Class
com.oracle.bmc.ailanguage.model.ModelSummary.Builder

Packages that use ModelSummary.Builder

Package	Description
com.oracle.bmc.ailanguage.model

Uses of ModelSummary.Builder in com.oracle.bmc.ailanguage.model

Methods in com.oracle.bmc.ailanguage.model that return ModelSummary.Builder

Modifier and Type	Method and Description
static ModelSummary.Builder	ModelSummary.builder() Create a new builder.
ModelSummary.Builder	ModelSummary.Builder.compartmentId(String compartmentId) The OCID for the model’s compartment.
ModelSummary.Builder	ModelSummary.Builder.copy(ModelSummary model)
ModelSummary.Builder	ModelSummary.Builder.definedTags(Map<String,Map<String,Object>> definedTags) Defined tags for this resource.
ModelSummary.Builder	ModelSummary.Builder.description(String description) A short description of the Model.
ModelSummary.Builder	ModelSummary.Builder.displayName(String displayName) A user-friendly display name for the resource.
ModelSummary.Builder	ModelSummary.Builder.freeformTags(Map<String,String> freeformTags) Simple key-value pair that is applied without any predefined name, type or scope.
ModelSummary.Builder	ModelSummary.Builder.id(String id) Unique identifier model OCID of a model that is immutable on creation
ModelSummary.Builder	ModelSummary.Builder.lifecycleDetails(String lifecycleDetails) A message describing the current state in more detail.
ModelSummary.Builder	ModelSummary.Builder.lifecycleState(Model.LifecycleState lifecycleState) The state of the model.
ModelSummary.Builder	ModelSummary.Builder.modelDetails(ModelDetails modelDetails)
ModelSummary.Builder	ModelSummary.Builder.projectId(String projectId) The OCID of the project to associate with the model.
ModelSummary.Builder	ModelSummary.Builder.systemTags(Map<String,Map<String,Object>> systemTags) Usage of system tag keys.
ModelSummary.Builder	ModelSummary.Builder.timeCreated(Date timeCreated) The time the the Model was created.
ModelSummary.Builder	ModelSummary.toBuilder()
ModelSummary.Builder	ModelSummary.Builder.version(String version) For pre trained models this will identify model type version used for model creation For custom this will identify model type version used for model creation and custom model on which training has to be done <<service>>::«service-name>>_<<model-type-version»::<<custom model on which this training has to be done>> ex: ai-lang::NER_V1::CUSTOM-V0