Package com.google.cloud.aiplatform.v1beta1

Interface TuningJobOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
TuningJob, TuningJob.Builder
@Generated public interface TuningJobOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • hasBaseModel

      boolean hasBaseModel()
       The base model that is being tuned. See [Supported
 models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/tuning#supported_models).
      string base_model = 4;
      Returns:
      Whether the baseModel field is set.

    • getBaseModel

      String getBaseModel()
       The base model that is being tuned. See [Supported
 models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/tuning#supported_models).
      string base_model = 4;
      Returns:
      The baseModel.

    • getBaseModelBytes

      com.google.protobuf.ByteString getBaseModelBytes()
       The base model that is being tuned. See [Supported
 models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/tuning#supported_models).
      string base_model = 4;
      Returns:
      The bytes for baseModel.

    • hasPreTunedModel

      boolean hasPreTunedModel()
       The pre-tuned model for continuous tuning.
      .google.cloud.aiplatform.v1beta1.PreTunedModel pre_tuned_model = 31;
      Returns:
      Whether the preTunedModel field is set.

    • getPreTunedModel

      PreTunedModel getPreTunedModel()
       The pre-tuned model for continuous tuning.
      .google.cloud.aiplatform.v1beta1.PreTunedModel pre_tuned_model = 31;
      Returns:
      The preTunedModel.

    • getPreTunedModelOrBuilder

      PreTunedModelOrBuilder getPreTunedModelOrBuilder()
       The pre-tuned model for continuous tuning.
      .google.cloud.aiplatform.v1beta1.PreTunedModel pre_tuned_model = 31;

    • hasSupervisedTuningSpec

      boolean hasSupervisedTuningSpec()
       Tuning Spec for Supervised Fine Tuning.
      .google.cloud.aiplatform.v1beta1.SupervisedTuningSpec supervised_tuning_spec = 5;
      Returns:
      Whether the supervisedTuningSpec field is set.

    • getSupervisedTuningSpec

      SupervisedTuningSpec getSupervisedTuningSpec()
       Tuning Spec for Supervised Fine Tuning.
      .google.cloud.aiplatform.v1beta1.SupervisedTuningSpec supervised_tuning_spec = 5;
      Returns:
      The supervisedTuningSpec.

    • getSupervisedTuningSpecOrBuilder

      SupervisedTuningSpecOrBuilder getSupervisedTuningSpecOrBuilder()
       Tuning Spec for Supervised Fine Tuning.
      .google.cloud.aiplatform.v1beta1.SupervisedTuningSpec supervised_tuning_spec = 5;

    • hasDistillationSpec

      boolean hasDistillationSpec()
       Tuning Spec for Distillation.
      .google.cloud.aiplatform.v1beta1.DistillationSpec distillation_spec = 17;
      Returns:
      Whether the distillationSpec field is set.

    • getDistillationSpec

      DistillationSpec getDistillationSpec()
       Tuning Spec for Distillation.
      .google.cloud.aiplatform.v1beta1.DistillationSpec distillation_spec = 17;
      Returns:
      The distillationSpec.

    • getDistillationSpecOrBuilder

      DistillationSpecOrBuilder getDistillationSpecOrBuilder()
       Tuning Spec for Distillation.
      .google.cloud.aiplatform.v1beta1.DistillationSpec distillation_spec = 17;

    • hasPartnerModelTuningSpec

      boolean hasPartnerModelTuningSpec()
       Tuning Spec for open sourced and third party Partner models.
      .google.cloud.aiplatform.v1beta1.PartnerModelTuningSpec partner_model_tuning_spec = 21;
      Returns:
      Whether the partnerModelTuningSpec field is set.

    • getPartnerModelTuningSpec

      PartnerModelTuningSpec getPartnerModelTuningSpec()
       Tuning Spec for open sourced and third party Partner models.
      .google.cloud.aiplatform.v1beta1.PartnerModelTuningSpec partner_model_tuning_spec = 21;
      Returns:
      The partnerModelTuningSpec.

    • getPartnerModelTuningSpecOrBuilder

      PartnerModelTuningSpecOrBuilder getPartnerModelTuningSpecOrBuilder()
       Tuning Spec for open sourced and third party Partner models.
      .google.cloud.aiplatform.v1beta1.PartnerModelTuningSpec partner_model_tuning_spec = 21;

    • hasVeoTuningSpec

      boolean hasVeoTuningSpec()
       Tuning Spec for Veo Tuning.
      .google.cloud.aiplatform.v1beta1.VeoTuningSpec veo_tuning_spec = 33;
      Returns:
      Whether the veoTuningSpec field is set.

    • getVeoTuningSpec

      VeoTuningSpec getVeoTuningSpec()
       Tuning Spec for Veo Tuning.
      .google.cloud.aiplatform.v1beta1.VeoTuningSpec veo_tuning_spec = 33;
      Returns:
      The veoTuningSpec.

    • getVeoTuningSpecOrBuilder

      VeoTuningSpecOrBuilder getVeoTuningSpecOrBuilder()
       Tuning Spec for Veo Tuning.
      .google.cloud.aiplatform.v1beta1.VeoTuningSpec veo_tuning_spec = 33;

    • hasVeoLoraTuningSpec

      boolean hasVeoLoraTuningSpec()
       Tuning Spec for Veo LoRA Tuning.
      .google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec veo_lora_tuning_spec = 38;
      Returns:
      Whether the veoLoraTuningSpec field is set.

    • getVeoLoraTuningSpec

      VeoLoraTuningSpec getVeoLoraTuningSpec()
       Tuning Spec for Veo LoRA Tuning.
      .google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec veo_lora_tuning_spec = 38;
      Returns:
      The veoLoraTuningSpec.

    • getVeoLoraTuningSpecOrBuilder

      VeoLoraTuningSpecOrBuilder getVeoLoraTuningSpecOrBuilder()
       Tuning Spec for Veo LoRA Tuning.
      .google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec veo_lora_tuning_spec = 38;

    • getName

      String getName()
       Output only. Identifier. Resource name of a TuningJob. Format:
 `projects/{project}/locations/{location}/tuningJobs/{tuning_job}`
      string name = 1 [(.google.api.field_behavior) = IDENTIFIER, (.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The name.

    • getNameBytes

      com.google.protobuf.ByteString getNameBytes()
       Output only. Identifier. Resource name of a TuningJob. Format:
 `projects/{project}/locations/{location}/tuningJobs/{tuning_job}`
      string name = 1 [(.google.api.field_behavior) = IDENTIFIER, (.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The bytes for name.

    • getTunedModelDisplayName

      String getTunedModelDisplayName()
       Optional. The display name of the
 [TunedModel][google.cloud.aiplatform.v1.Model]. The name can be up to 128
 characters long and can consist of any UTF-8 characters.
      string tuned_model_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The tunedModelDisplayName.

    • getTunedModelDisplayNameBytes

      com.google.protobuf.ByteString getTunedModelDisplayNameBytes()
       Optional. The display name of the
 [TunedModel][google.cloud.aiplatform.v1.Model]. The name can be up to 128
 characters long and can consist of any UTF-8 characters.
      string tuned_model_display_name = 2 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The bytes for tunedModelDisplayName.

    • getDescription

      String getDescription()
       Optional. The description of the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      string description = 3 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The description.

    • getDescriptionBytes

      com.google.protobuf.ByteString getDescriptionBytes()
       Optional. The description of the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      string description = 3 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The bytes for description.

    • getCustomBaseModel

      String getCustomBaseModel()
       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.
      string custom_base_model = 26 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The customBaseModel.

    • getCustomBaseModelBytes

      com.google.protobuf.ByteString getCustomBaseModelBytes()
       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.
      string custom_base_model = 26 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The bytes for customBaseModel.

    • getStateValue

      int getStateValue()
       Output only. The detailed state of the job.
      .google.cloud.aiplatform.v1beta1.JobState state = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The enum numeric value on the wire for state.

    • getState

      JobState getState()
       Output only. The detailed state of the job.
      .google.cloud.aiplatform.v1beta1.JobState state = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The state.

    • hasCreateTime

      boolean hasCreateTime()
       Output only. Time when the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] was created.
      .google.protobuf.Timestamp create_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the createTime field is set.

    • getCreateTime

      com.google.protobuf.Timestamp getCreateTime()
       Output only. Time when the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] was created.
      .google.protobuf.Timestamp create_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The createTime.

    • getCreateTimeOrBuilder

      com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
       Output only. Time when the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] was created.
      .google.protobuf.Timestamp create_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • hasStartTime

      boolean hasStartTime()
       Output only. Time when the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] for the first time
 entered the `JOB_STATE_RUNNING` state.
      .google.protobuf.Timestamp start_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the startTime field is set.

    • getStartTime

      com.google.protobuf.Timestamp getStartTime()
       Output only. Time when the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] for the first time
 entered the `JOB_STATE_RUNNING` state.
      .google.protobuf.Timestamp start_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The startTime.

    • getStartTimeOrBuilder

      com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder()
       Output only. Time when the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] for the first time
 entered the `JOB_STATE_RUNNING` state.
      .google.protobuf.Timestamp start_time = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • hasEndTime

      boolean hasEndTime()
       Output only. Time when the TuningJob entered any of the following
 [JobStates][google.cloud.aiplatform.v1.JobState]: `JOB_STATE_SUCCEEDED`,
 `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`, `JOB_STATE_EXPIRED`.
      .google.protobuf.Timestamp end_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the endTime field is set.

    • getEndTime

      com.google.protobuf.Timestamp getEndTime()
       Output only. Time when the TuningJob entered any of the following
 [JobStates][google.cloud.aiplatform.v1.JobState]: `JOB_STATE_SUCCEEDED`,
 `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`, `JOB_STATE_EXPIRED`.
      .google.protobuf.Timestamp end_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The endTime.

    • getEndTimeOrBuilder

      com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder()
       Output only. Time when the TuningJob entered any of the following
 [JobStates][google.cloud.aiplatform.v1.JobState]: `JOB_STATE_SUCCEEDED`,
 `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`, `JOB_STATE_EXPIRED`.
      .google.protobuf.Timestamp end_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • hasUpdateTime

      boolean hasUpdateTime()
       Output only. Time when the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] was most recently
 updated.
      .google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the updateTime field is set.

    • getUpdateTime

      com.google.protobuf.Timestamp getUpdateTime()
       Output only. Time when the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] was most recently
 updated.
      .google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The updateTime.

    • getUpdateTimeOrBuilder

      com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder()
       Output only. Time when the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] was most recently
 updated.
      .google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • hasError

      boolean hasError()
       Output only. Only populated when job's state is `JOB_STATE_FAILED` or
 `JOB_STATE_CANCELLED`.
      .google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the error field is set.

    • getError

      Status getError()
       Output only. Only populated when job's state is `JOB_STATE_FAILED` or
 `JOB_STATE_CANCELLED`.
      .google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The error.

    • getErrorOrBuilder

      StatusOrBuilder getErrorOrBuilder()
       Output only. Only populated when job's state is `JOB_STATE_FAILED` or
 `JOB_STATE_CANCELLED`.
      .google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getLabelsCount

      int getLabelsCount()
       Optional. The labels with user-defined metadata to organize
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] and generated resources
 such as [Model][google.cloud.aiplatform.v1.Model] and
 [Endpoint][google.cloud.aiplatform.v1.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.
      map<string, string> labels = 12 [(.google.api.field_behavior) = OPTIONAL];

    • containsLabels

      boolean containsLabels(String key)
       Optional. The labels with user-defined metadata to organize
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] and generated resources
 such as [Model][google.cloud.aiplatform.v1.Model] and
 [Endpoint][google.cloud.aiplatform.v1.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.
      map<string, string> labels = 12 [(.google.api.field_behavior) = OPTIONAL];

    • getLabels

      @Deprecated Map<String,String> getLabels()
      Deprecated.
      Use getLabelsMap() instead.

    • getLabelsMap

      Map<String,String> getLabelsMap()
       Optional. The labels with user-defined metadata to organize
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] and generated resources
 such as [Model][google.cloud.aiplatform.v1.Model] and
 [Endpoint][google.cloud.aiplatform.v1.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.
      map<string, string> labels = 12 [(.google.api.field_behavior) = OPTIONAL];

    • getLabelsOrDefault

      String getLabelsOrDefault(String key, String defaultValue)
       Optional. The labels with user-defined metadata to organize
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] and generated resources
 such as [Model][google.cloud.aiplatform.v1.Model] and
 [Endpoint][google.cloud.aiplatform.v1.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.
      map<string, string> labels = 12 [(.google.api.field_behavior) = OPTIONAL];

    • getLabelsOrThrow

      String getLabelsOrThrow(String key)
       Optional. The labels with user-defined metadata to organize
 [TuningJob][google.cloud.aiplatform.v1.TuningJob] and generated resources
 such as [Model][google.cloud.aiplatform.v1.Model] and
 [Endpoint][google.cloud.aiplatform.v1.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.
      map<string, string> labels = 12 [(.google.api.field_behavior) = OPTIONAL];

    • getExperiment

      String getExperiment()
       Output only. The Experiment associated with this
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      string experiment = 13 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
      Returns:
      The experiment.

    • getExperimentBytes

      com.google.protobuf.ByteString getExperimentBytes()
       Output only. The Experiment associated with this
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      string experiment = 13 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
      Returns:
      The bytes for experiment.

    • hasTunedModel

      boolean hasTunedModel()
       Output only. The tuned model resources associated with this
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      .google.cloud.aiplatform.v1beta1.TunedModel tuned_model = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the tunedModel field is set.

    • getTunedModel

      TunedModel getTunedModel()
       Output only. The tuned model resources associated with this
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      .google.cloud.aiplatform.v1beta1.TunedModel tuned_model = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The tunedModel.

    • getTunedModelOrBuilder

      TunedModelOrBuilder getTunedModelOrBuilder()
       Output only. The tuned model resources associated with this
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      .google.cloud.aiplatform.v1beta1.TunedModel tuned_model = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • hasTuningDataStats

      boolean hasTuningDataStats()
       Output only. The tuning data statistics associated with this
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      .google.cloud.aiplatform.v1beta1.TuningDataStats tuning_data_stats = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the tuningDataStats field is set.

    • getTuningDataStats

      TuningDataStats getTuningDataStats()
       Output only. The tuning data statistics associated with this
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      .google.cloud.aiplatform.v1beta1.TuningDataStats tuning_data_stats = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The tuningDataStats.

    • getTuningDataStatsOrBuilder

      TuningDataStatsOrBuilder getTuningDataStatsOrBuilder()
       Output only. The tuning data statistics associated with this
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      .google.cloud.aiplatform.v1beta1.TuningDataStats tuning_data_stats = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getPipelineJob

      String getPipelineJob()
       Output only. The resource name of the PipelineJob associated with the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob]. Format:
 `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`.
      string pipeline_job = 18 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
      Returns:
      The pipelineJob.

    • getPipelineJobBytes

      com.google.protobuf.ByteString getPipelineJobBytes()
       Output only. The resource name of the PipelineJob associated with the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob]. Format:
 `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`.
      string pipeline_job = 18 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
      Returns:
      The bytes for pipelineJob.

    • hasEncryptionSpec

      boolean hasEncryptionSpec()
       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.
      .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 16;
      Returns:
      Whether the encryptionSpec field is set.

    • getEncryptionSpec

      EncryptionSpec getEncryptionSpec()
       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.
      .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 16;
      Returns:
      The encryptionSpec.

    • getEncryptionSpecOrBuilder

      EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()
       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.
      .google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 16;

    • getServiceAccount

      String getServiceAccount()
       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.
      string service_account = 22;
      Returns:
      The serviceAccount.

    • getServiceAccountBytes

      com.google.protobuf.ByteString getServiceAccountBytes()
       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.
      string service_account = 22;
      Returns:
      The bytes for serviceAccount.

    • getOutputUri

      String getOutputUri()
       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.
      string output_uri = 25 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The outputUri.

    • getOutputUriBytes

      com.google.protobuf.ByteString getOutputUriBytes()
       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.
      string output_uri = 25 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The bytes for outputUri.

    • getEvaluateDatasetRunsList

      List<EvaluateDatasetRun> getEvaluateDatasetRunsList()
       Output only. Evaluation runs for the Tuning Job.
      repeated .google.cloud.aiplatform.v1beta1.EvaluateDatasetRun evaluate_dataset_runs = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getEvaluateDatasetRuns

      EvaluateDatasetRun getEvaluateDatasetRuns(int index)
       Output only. Evaluation runs for the Tuning Job.
      repeated .google.cloud.aiplatform.v1beta1.EvaluateDatasetRun evaluate_dataset_runs = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getEvaluateDatasetRunsCount

      int getEvaluateDatasetRunsCount()
       Output only. Evaluation runs for the Tuning Job.
      repeated .google.cloud.aiplatform.v1beta1.EvaluateDatasetRun evaluate_dataset_runs = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getEvaluateDatasetRunsOrBuilderList

      List<? extends EvaluateDatasetRunOrBuilder> getEvaluateDatasetRunsOrBuilderList()
       Output only. Evaluation runs for the Tuning Job.
      repeated .google.cloud.aiplatform.v1beta1.EvaluateDatasetRun evaluate_dataset_runs = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getEvaluateDatasetRunsOrBuilder

      EvaluateDatasetRunOrBuilder getEvaluateDatasetRunsOrBuilder(int index)
       Output only. Evaluation runs for the Tuning Job.
      repeated .google.cloud.aiplatform.v1beta1.EvaluateDatasetRun evaluate_dataset_runs = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getSourceModelCase

      TuningJob.SourceModelCase getSourceModelCase()

    • getTuningSpecCase

      TuningJob.TuningSpecCase getTuningSpecCase()