Constructor Detail

• TuningJob

  TuningJob()

Method Detail

• sdkHttpResponse

   abstract Optional<HttpResponse> sdkHttpResponse()

  Used to retain the full HTTP response.

• name

   abstract Optional<String> name()

  Output only. Identifier. Resource name of a TuningJob. Format: `projects/{project}/locations/{location}/tuningJobs/{tuning_job}`

• state

   abstract Optional<JobState> state()

  Output only. The detailed state of the job.

• createTime

   abstract Optional<Instant> createTime()

  Output only. Time when the TuningJob was created.

• startTime

   abstract Optional<Instant> startTime()

  Output only. Time when the TuningJob for the first time entered the `JOB_STATE_RUNNING` state.

• endTime

   abstract Optional<Instant> endTime()

  Output only. Time when the TuningJob entered any of the following JobStates: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`, `JOB_STATE_EXPIRED`.

• updateTime

   abstract Optional<Instant> updateTime()

  Output only. Time when the TuningJob was most recently updated.

• error

   abstract Optional<GoogleRpcStatus> error()

  Output only. Only populated when job's state is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.

• description

   abstract Optional<String> description()

  Optional. The description of the TuningJob.

• baseModel

   abstract Optional<String> baseModel()

  The base model that is being tuned. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/tuning#supported_models).

• tunedModel

   abstract Optional<TunedModel> tunedModel()

  Output only. The tuned model resources associated with this TuningJob.

• preTunedModel

   abstract Optional<PreTunedModel> preTunedModel()

  The pre-tuned model for continuous tuning.

• supervisedTuningSpec

   abstract Optional<SupervisedTuningSpec> supervisedTuningSpec()

  Tuning Spec for Supervised Fine Tuning.

• preferenceOptimizationSpec

   abstract Optional<PreferenceOptimizationSpec> preferenceOptimizationSpec()

  Tuning Spec for Preference Optimization.

• distillationSpec

   abstract Optional<DistillationSpec> distillationSpec()

  Tuning Spec for Distillation.

• tuningDataStats

   abstract Optional<TuningDataStats> tuningDataStats()

  Output only. The tuning data statistics associated with this TuningJob.

• encryptionSpec

   abstract Optional<EncryptionSpec> encryptionSpec()

  Customer-managed encryption key options for a TuningJob. If this is set, then all resources created by the TuningJob will be encrypted with the provided encryption key.

• partnerModelTuningSpec

   abstract Optional<PartnerModelTuningSpec> partnerModelTuningSpec()

  Tuning Spec for open sourced and third party Partner models.

• evaluationConfig

   abstract Optional<EvaluationConfig> evaluationConfig()

  Evaluation config for the tuning job.

• customBaseModel

   abstract Optional<String> customBaseModel()

  Optional. The user-provided path to custom model weights. Set this field to tune a custom model. The path must be a Cloud Storage directory that contains the model weights in .safetensors format along with associated model metadata files. If this field is set, the base_model field must still be set to indicate which base model the custom model is derived from. This feature is only available for open source models.

• evaluateDatasetRuns

   abstract Optional<List<EvaluateDatasetRun>> evaluateDatasetRuns()

  Output only. Evaluation runs for the Tuning Job.

• experiment

   abstract Optional<String> experiment()

  Output only. The Experiment associated with this TuningJob.

• fullFineTuningSpec

   abstract Optional<FullFineTuningSpec> fullFineTuningSpec()

  Tuning Spec for Full Fine Tuning.

• labels

   abstract Optional<Map<String, String>> labels()

  Optional. The labels with user-defined metadata to organize TuningJob and generated resources such as Model and Endpoint. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.

• outputUri

   abstract Optional<String> outputUri()

  Optional. Cloud Storage path to the directory where tuning job outputs are written to. This field is only available and required for open source models.

• pipelineJob

   abstract Optional<String> pipelineJob()

  Output only. The resource name of the PipelineJob associated with the TuningJob. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`.

• serviceAccount

   abstract Optional<String> serviceAccount()

  The service account that the tuningJob workload runs as. If not specified, the Vertex AI Secure Fine-Tuned Service Agent in the project will be used. See https://cloud.google.com/iam/docs/service-agents#vertex-ai-secure-fine-tuning-service-agent Users starting the pipeline must have the `iam.serviceAccounts.actAs` permission on this service account.

• tunedModelDisplayName

   abstract Optional<String> tunedModelDisplayName()

  Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters. For continuous tuning, tuned_model_display_name will by default use the same display name as the pre-tuned model. If a new display name is provided, the tuning job will create a new model instead of a new version.

• tuningJobState

   abstract Optional<TuningJobState> tuningJobState()

  Output only. The detail state of the tuning job (while the overall `JobState` is running).

• veoTuningSpec

   abstract Optional<VeoTuningSpec> veoTuningSpec()

  Tuning Spec for Veo Tuning.

• distillationSamplingSpec

   abstract Optional<DistillationSamplingSpec> distillationSamplingSpec()

  Optional. Spec for creating a distillation dataset.

• tuningJobMetadata

   abstract Optional<TuningJobMetadata> tuningJobMetadata()

  Output only. Tuning Job metadata.

• builder

   static TuningJob.Builder builder()

  Instantiates a builder for TuningJob.

• toBuilder

   abstract TuningJob.Builder toBuilder()

  Creates a builder with the same values as this instance.

• fromJson

   static TuningJob fromJson(String jsonString)

  Deserializes a JSON string to a TuningJob object.