| ActionType |
Possible types of actions.
|
| ChangeDedicatedAiClusterCompartmentDetails |
The details to move a dedicated AI cluster to another compartment.
|
| ChangeDedicatedAiClusterCompartmentDetails.Builder |
|
| ChangeEndpointCompartmentDetails |
The details to move an endpoint to another compartment.
|
| ChangeEndpointCompartmentDetails.Builder |
|
| ChangeGenerativeAiPrivateEndpointCompartmentDetails |
The details required to change a private endpoint compartment.
|
| ChangeGenerativeAiPrivateEndpointCompartmentDetails.Builder |
|
| ChangeModelCompartmentDetails |
The details to move a custom model to another compartment.
|
| ChangeModelCompartmentDetails.Builder |
|
| ChatModelMetrics |
The chat model metrics of the fine-tuning process.
|
| ChatModelMetrics.Builder |
|
| ContentModerationConfig |
The configuration details, whether to add the content moderation feature to the model.
|
| ContentModerationConfig.Builder |
|
| ContentModerationConfig.Mode |
Enum for the modes of operation for inference protection.
|
| CreateDedicatedAiClusterDetails |
The data to create a dedicated AI cluster.
|
| CreateDedicatedAiClusterDetails.Builder |
|
| CreateEndpointDetails |
The data to create an endpoint.
|
| CreateEndpointDetails.Builder |
|
| CreateGenerativeAiPrivateEndpointDetails |
The details required to create a Generative AI private endpoint.
|
| CreateGenerativeAiPrivateEndpointDetails.Builder |
|
| CreateModelDetails |
The data to create a custom model.
|
| CreateModelDetails.Builder |
|
| Dataset |
The dataset used to fine-tune the model.
|
| Dataset.DatasetType |
The type of the data asset.
|
| DedicatedAiCluster |
Dedicated AI clusters are compute resources that you can use for fine-tuning custom models or for
hosting endpoints for custom models.
|
| DedicatedAiCluster.Builder |
|
| DedicatedAiCluster.LifecycleState |
The current state of the dedicated AI cluster.
|
| DedicatedAiCluster.Type |
The dedicated AI cluster type indicating whether this is a fine-tuning/training processor or
hosting/inference processor.
|
| DedicatedAiCluster.UnitShape |
The shape of dedicated unit in this AI cluster.
|
| DedicatedAiClusterCapacity |
The total capacity for a dedicated AI cluster.
|
| DedicatedAiClusterCapacity.CapacityType |
The type of the dedicated AI cluster capacity.
|
| DedicatedAiClusterCollection |
Results of a dedicate AI cluster search.
|
| DedicatedAiClusterCollection.Builder |
|
| DedicatedAiClusterHostingCapacity |
The capacity of a hosting type dedicated AI cluster.
|
| DedicatedAiClusterHostingCapacity.Builder |
|
| DedicatedAiClusterSummary |
Summary information about a dedicated AI cluster.
|
| DedicatedAiClusterSummary.Builder |
|
| Endpoint |
To host a custom model for inference, create an endpoint for that model on a dedicated AI cluster
of type HOSTING.
|
| Endpoint.Builder |
|
| Endpoint.LifecycleState |
The current state of the endpoint.
|
| EndpointCollection |
Results of an endpoint search.
|
| EndpointCollection.Builder |
|
| EndpointSummary |
Summary information for an endpoint resource.
|
| EndpointSummary.Builder |
|
| FineTuneDetails |
Details about fine-tuning a custom model.
|
| FineTuneDetails.Builder |
|
| GenerativeAiPrivateEndpoint |
Generative AI private endpoint.
|
| GenerativeAiPrivateEndpoint.Builder |
|
| GenerativeAiPrivateEndpoint.LifecycleState |
The current state of the Generative AI Private Endpoint.
|
| GenerativeAiPrivateEndpointCollection |
|
| GenerativeAiPrivateEndpointCollection.Builder |
|
| GenerativeAiPrivateEndpointSummary |
List of Generative AI private endpoints.
|
| GenerativeAiPrivateEndpointSummary.Builder |
|
| LoraTrainingConfig |
The Lora training method hyperparameters.
|
| LoraTrainingConfig.Builder |
|
| Model |
You can create a custom model by using your dataset to fine-tune an out-of-the-box text
generation base model.
|
| Model.Builder |
|
| Model.LifecycleState |
The lifecycle state of the model.
|
| Model.Type |
The model type indicating whether this is a pretrained/base model or a custom/fine-tuned
model.
|
| ModelCapability |
Describes what this model can be used for.
|
| ModelCollection |
Results of a model search.
|
| ModelCollection.Builder |
|
| ModelMetrics |
Model metrics during the creation of a new model.
|
| ModelMetrics.ModelMetricsType |
The type of the model metrics.
|
| ModelSummary |
Summary of the model.
|
| ModelSummary.Builder |
|
| ObjectStorageDataset |
The dataset is stored in an OCI Object Storage bucket.
|
| ObjectStorageDataset.Builder |
|
| OperationStatus |
The status of the work request.
|
| OperationType |
The resources affected by this work request.
|
| SortOrder |
The sort order to use, either ascending (ASC) or descending (DESC).
|
| TextGenerationModelMetrics |
The text generation model metrics of the fine-tuning process.
|
| TextGenerationModelMetrics.Builder |
|
| TFewTrainingConfig |
The TFEW training method hyperparameters.
|
| TFewTrainingConfig.Builder |
|
| TrainingConfig |
The fine-tuning method and hyperparameters used for fine-tuning a custom model.
|
| TrainingConfig.TrainingConfigType |
The fine-tuning method for training a custom model.
|
| UpdateDedicatedAiClusterDetails |
The data to update a dedicated AI cluster.
|
| UpdateDedicatedAiClusterDetails.Builder |
|
| UpdateEndpointDetails |
The data to update an endpoint.
|
| UpdateEndpointDetails.Builder |
|
| UpdateGenerativeAiPrivateEndpointDetails |
The details required to update a Generative AI private endpoint.
|
| UpdateGenerativeAiPrivateEndpointDetails.Builder |
|
| UpdateModelDetails |
The data to update a custom model.
|
| UpdateModelDetails.Builder |
|
| VanillaTrainingConfig |
The Vanilla training method hyperparameters.
|
| VanillaTrainingConfig.Builder |
|
| WorkRequest |
An asynchronous work request.
|
| WorkRequest.Builder |
|
| WorkRequestError |
An error encountered while performing an operation that is tracked by this work request.
|
| WorkRequestError.Builder |
|
| WorkRequestErrorCollection |
A list of work request errors.
|
| WorkRequestErrorCollection.Builder |
|
| WorkRequestLogEntry |
The log message from performing an operation that is tracked by this work request.
|
| WorkRequestLogEntry.Builder |
|
| WorkRequestLogEntryCollection |
A list of work request logs.
|
| WorkRequestLogEntryCollection.Builder |
|
| WorkRequestResource |
The resource created or operated on by a work request.
|
| WorkRequestResource.Builder |
|
| WorkRequestResourceMetadataKey |
Possible metadata keys for work request resource metadata.
|
| WorkRequestSummary |
Summary information about an asynchronous work request.
|
| WorkRequestSummary.Builder |
|
| WorkRequestSummaryCollection |
A list of work requests.
|
| WorkRequestSummaryCollection.Builder |
|