Package com.google.cloud.aiplatform.v1beta1

Class TuningJob.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<TuningJob.Builder>
com.google.cloud.aiplatform.v1beta1.TuningJob.Builder
All Implemented Interfaces:
TuningJobOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
TuningJob
public static final class TuningJob.Builder extends com.google.protobuf.GeneratedMessage.Builder<TuningJob.Builder> implements TuningJobOrBuilder
 Represents a TuningJob that runs with Google owned models.
Protobuf type google.cloud.aiplatform.v1beta1.TuningJob

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetMapFieldReflection

      protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
      Overrides:
      internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessage.Builder<TuningJob.Builder>

    • internalGetMutableMapFieldReflection

      protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
      Overrides:
      internalGetMutableMapFieldReflection in class com.google.protobuf.GeneratedMessage.Builder<TuningJob.Builder>

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<TuningJob.Builder>

    • clear

      public TuningJob.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<TuningJob.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<TuningJob.Builder>

    • getDefaultInstanceForType

      public TuningJob getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public TuningJob build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public TuningJob buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public TuningJob.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<TuningJob.Builder>

    • mergeFrom

      public TuningJob.Builder mergeFrom(TuningJob other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<TuningJob.Builder>

    • mergeFrom

      public TuningJob.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<TuningJob.Builder>
      Throws:
      IOException

    • getSourceModelCase

      public TuningJob.SourceModelCase getSourceModelCase()
      Specified by:
      getSourceModelCase in interface TuningJobOrBuilder

    • clearSourceModel

      public TuningJob.Builder clearSourceModel()

    • getTuningSpecCase

      public TuningJob.TuningSpecCase getTuningSpecCase()
      Specified by:
      getTuningSpecCase in interface TuningJobOrBuilder

    • clearTuningSpec

      public TuningJob.Builder clearTuningSpec()

    • hasBaseModel

      public 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;
      Specified by:
      hasBaseModel in interface TuningJobOrBuilder
      Returns:
      Whether the baseModel field is set.

    • getBaseModel

      public 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;
      Specified by:
      getBaseModel in interface TuningJobOrBuilder
      Returns:
      The baseModel.

    • getBaseModelBytes

      public 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;
      Specified by:
      getBaseModelBytes in interface TuningJobOrBuilder
      Returns:
      The bytes for baseModel.

    • setBaseModel

      public TuningJob.Builder setBaseModel(String value)
       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;
      Parameters:
      value - The baseModel to set.
      Returns:
      This builder for chaining.

    • clearBaseModel

      public TuningJob.Builder clearBaseModel()
       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:
      This builder for chaining.

    • setBaseModelBytes

      public TuningJob.Builder setBaseModelBytes(com.google.protobuf.ByteString value)
       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;
      Parameters:
      value - The bytes for baseModel to set.
      Returns:
      This builder for chaining.

    • hasPreTunedModel

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

    • getPreTunedModel

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

    • setPreTunedModel

      public TuningJob.Builder setPreTunedModel(PreTunedModel value)
       The pre-tuned model for continuous tuning.
      .google.cloud.aiplatform.v1beta1.PreTunedModel pre_tuned_model = 31;

    • setPreTunedModel

      public TuningJob.Builder setPreTunedModel(PreTunedModel.Builder builderForValue)
       The pre-tuned model for continuous tuning.
      .google.cloud.aiplatform.v1beta1.PreTunedModel pre_tuned_model = 31;

    • mergePreTunedModel

      public TuningJob.Builder mergePreTunedModel(PreTunedModel value)
       The pre-tuned model for continuous tuning.
      .google.cloud.aiplatform.v1beta1.PreTunedModel pre_tuned_model = 31;

    • clearPreTunedModel

      public TuningJob.Builder clearPreTunedModel()
       The pre-tuned model for continuous tuning.
      .google.cloud.aiplatform.v1beta1.PreTunedModel pre_tuned_model = 31;

    • getPreTunedModelBuilder

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

    • getPreTunedModelOrBuilder

      public PreTunedModelOrBuilder getPreTunedModelOrBuilder()
       The pre-tuned model for continuous tuning.
      .google.cloud.aiplatform.v1beta1.PreTunedModel pre_tuned_model = 31;
      Specified by:
      getPreTunedModelOrBuilder in interface TuningJobOrBuilder

    • hasSupervisedTuningSpec

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

    • getSupervisedTuningSpec

      public SupervisedTuningSpec getSupervisedTuningSpec()
       Tuning Spec for Supervised Fine Tuning.
      .google.cloud.aiplatform.v1beta1.SupervisedTuningSpec supervised_tuning_spec = 5;
      Specified by:
      getSupervisedTuningSpec in interface TuningJobOrBuilder
      Returns:
      The supervisedTuningSpec.

    • setSupervisedTuningSpec

      public TuningJob.Builder setSupervisedTuningSpec(SupervisedTuningSpec value)
       Tuning Spec for Supervised Fine Tuning.
      .google.cloud.aiplatform.v1beta1.SupervisedTuningSpec supervised_tuning_spec = 5;

    • setSupervisedTuningSpec

      public TuningJob.Builder setSupervisedTuningSpec(SupervisedTuningSpec.Builder builderForValue)
       Tuning Spec for Supervised Fine Tuning.
      .google.cloud.aiplatform.v1beta1.SupervisedTuningSpec supervised_tuning_spec = 5;

    • mergeSupervisedTuningSpec

      public TuningJob.Builder mergeSupervisedTuningSpec(SupervisedTuningSpec value)
       Tuning Spec for Supervised Fine Tuning.
      .google.cloud.aiplatform.v1beta1.SupervisedTuningSpec supervised_tuning_spec = 5;

    • clearSupervisedTuningSpec

      public TuningJob.Builder clearSupervisedTuningSpec()
       Tuning Spec for Supervised Fine Tuning.
      .google.cloud.aiplatform.v1beta1.SupervisedTuningSpec supervised_tuning_spec = 5;

    • getSupervisedTuningSpecBuilder

      public SupervisedTuningSpec.Builder getSupervisedTuningSpecBuilder()
       Tuning Spec for Supervised Fine Tuning.
      .google.cloud.aiplatform.v1beta1.SupervisedTuningSpec supervised_tuning_spec = 5;

    • getSupervisedTuningSpecOrBuilder

      public SupervisedTuningSpecOrBuilder getSupervisedTuningSpecOrBuilder()
       Tuning Spec for Supervised Fine Tuning.
      .google.cloud.aiplatform.v1beta1.SupervisedTuningSpec supervised_tuning_spec = 5;
      Specified by:
      getSupervisedTuningSpecOrBuilder in interface TuningJobOrBuilder

    • hasDistillationSpec

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

    • getDistillationSpec

      public DistillationSpec getDistillationSpec()
       Tuning Spec for Distillation.
      .google.cloud.aiplatform.v1beta1.DistillationSpec distillation_spec = 17;
      Specified by:
      getDistillationSpec in interface TuningJobOrBuilder
      Returns:
      The distillationSpec.

    • setDistillationSpec

      public TuningJob.Builder setDistillationSpec(DistillationSpec value)
       Tuning Spec for Distillation.
      .google.cloud.aiplatform.v1beta1.DistillationSpec distillation_spec = 17;

    • setDistillationSpec

      public TuningJob.Builder setDistillationSpec(DistillationSpec.Builder builderForValue)
       Tuning Spec for Distillation.
      .google.cloud.aiplatform.v1beta1.DistillationSpec distillation_spec = 17;

    • mergeDistillationSpec

      public TuningJob.Builder mergeDistillationSpec(DistillationSpec value)
       Tuning Spec for Distillation.
      .google.cloud.aiplatform.v1beta1.DistillationSpec distillation_spec = 17;

    • clearDistillationSpec

      public TuningJob.Builder clearDistillationSpec()
       Tuning Spec for Distillation.
      .google.cloud.aiplatform.v1beta1.DistillationSpec distillation_spec = 17;

    • getDistillationSpecBuilder

      public DistillationSpec.Builder getDistillationSpecBuilder()
       Tuning Spec for Distillation.
      .google.cloud.aiplatform.v1beta1.DistillationSpec distillation_spec = 17;

    • getDistillationSpecOrBuilder

      public DistillationSpecOrBuilder getDistillationSpecOrBuilder()
       Tuning Spec for Distillation.
      .google.cloud.aiplatform.v1beta1.DistillationSpec distillation_spec = 17;
      Specified by:
      getDistillationSpecOrBuilder in interface TuningJobOrBuilder

    • hasPartnerModelTuningSpec

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

    • getPartnerModelTuningSpec

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

    • setPartnerModelTuningSpec

      public TuningJob.Builder setPartnerModelTuningSpec(PartnerModelTuningSpec value)
       Tuning Spec for open sourced and third party Partner models.
      .google.cloud.aiplatform.v1beta1.PartnerModelTuningSpec partner_model_tuning_spec = 21;

    • setPartnerModelTuningSpec

      public TuningJob.Builder setPartnerModelTuningSpec(PartnerModelTuningSpec.Builder builderForValue)
       Tuning Spec for open sourced and third party Partner models.
      .google.cloud.aiplatform.v1beta1.PartnerModelTuningSpec partner_model_tuning_spec = 21;

    • mergePartnerModelTuningSpec

      public TuningJob.Builder mergePartnerModelTuningSpec(PartnerModelTuningSpec value)
       Tuning Spec for open sourced and third party Partner models.
      .google.cloud.aiplatform.v1beta1.PartnerModelTuningSpec partner_model_tuning_spec = 21;

    • clearPartnerModelTuningSpec

      public TuningJob.Builder clearPartnerModelTuningSpec()
       Tuning Spec for open sourced and third party Partner models.
      .google.cloud.aiplatform.v1beta1.PartnerModelTuningSpec partner_model_tuning_spec = 21;

    • getPartnerModelTuningSpecBuilder

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

    • getPartnerModelTuningSpecOrBuilder

      public PartnerModelTuningSpecOrBuilder getPartnerModelTuningSpecOrBuilder()
       Tuning Spec for open sourced and third party Partner models.
      .google.cloud.aiplatform.v1beta1.PartnerModelTuningSpec partner_model_tuning_spec = 21;
      Specified by:
      getPartnerModelTuningSpecOrBuilder in interface TuningJobOrBuilder

    • hasVeoTuningSpec

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

    • getVeoTuningSpec

      public VeoTuningSpec getVeoTuningSpec()
       Tuning Spec for Veo Tuning.
      .google.cloud.aiplatform.v1beta1.VeoTuningSpec veo_tuning_spec = 33;
      Specified by:
      getVeoTuningSpec in interface TuningJobOrBuilder
      Returns:
      The veoTuningSpec.

    • setVeoTuningSpec

      public TuningJob.Builder setVeoTuningSpec(VeoTuningSpec value)
       Tuning Spec for Veo Tuning.
      .google.cloud.aiplatform.v1beta1.VeoTuningSpec veo_tuning_spec = 33;

    • setVeoTuningSpec

      public TuningJob.Builder setVeoTuningSpec(VeoTuningSpec.Builder builderForValue)
       Tuning Spec for Veo Tuning.
      .google.cloud.aiplatform.v1beta1.VeoTuningSpec veo_tuning_spec = 33;

    • mergeVeoTuningSpec

      public TuningJob.Builder mergeVeoTuningSpec(VeoTuningSpec value)
       Tuning Spec for Veo Tuning.
      .google.cloud.aiplatform.v1beta1.VeoTuningSpec veo_tuning_spec = 33;

    • clearVeoTuningSpec

      public TuningJob.Builder clearVeoTuningSpec()
       Tuning Spec for Veo Tuning.
      .google.cloud.aiplatform.v1beta1.VeoTuningSpec veo_tuning_spec = 33;

    • getVeoTuningSpecBuilder

      public VeoTuningSpec.Builder getVeoTuningSpecBuilder()
       Tuning Spec for Veo Tuning.
      .google.cloud.aiplatform.v1beta1.VeoTuningSpec veo_tuning_spec = 33;

    • getVeoTuningSpecOrBuilder

      public VeoTuningSpecOrBuilder getVeoTuningSpecOrBuilder()
       Tuning Spec for Veo Tuning.
      .google.cloud.aiplatform.v1beta1.VeoTuningSpec veo_tuning_spec = 33;
      Specified by:
      getVeoTuningSpecOrBuilder in interface TuningJobOrBuilder

    • hasVeoLoraTuningSpec

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

    • getVeoLoraTuningSpec

      public VeoLoraTuningSpec getVeoLoraTuningSpec()
       Tuning Spec for Veo LoRA Tuning.
      .google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec veo_lora_tuning_spec = 38;
      Specified by:
      getVeoLoraTuningSpec in interface TuningJobOrBuilder
      Returns:
      The veoLoraTuningSpec.

    • setVeoLoraTuningSpec

      public TuningJob.Builder setVeoLoraTuningSpec(VeoLoraTuningSpec value)
       Tuning Spec for Veo LoRA Tuning.
      .google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec veo_lora_tuning_spec = 38;

    • setVeoLoraTuningSpec

      public TuningJob.Builder setVeoLoraTuningSpec(VeoLoraTuningSpec.Builder builderForValue)
       Tuning Spec for Veo LoRA Tuning.
      .google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec veo_lora_tuning_spec = 38;

    • mergeVeoLoraTuningSpec

      public TuningJob.Builder mergeVeoLoraTuningSpec(VeoLoraTuningSpec value)
       Tuning Spec for Veo LoRA Tuning.
      .google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec veo_lora_tuning_spec = 38;

    • clearVeoLoraTuningSpec

      public TuningJob.Builder clearVeoLoraTuningSpec()
       Tuning Spec for Veo LoRA Tuning.
      .google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec veo_lora_tuning_spec = 38;

    • getVeoLoraTuningSpecBuilder

      public VeoLoraTuningSpec.Builder getVeoLoraTuningSpecBuilder()
       Tuning Spec for Veo LoRA Tuning.
      .google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec veo_lora_tuning_spec = 38;

    • getVeoLoraTuningSpecOrBuilder

      public VeoLoraTuningSpecOrBuilder getVeoLoraTuningSpecOrBuilder()
       Tuning Spec for Veo LoRA Tuning.
      .google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec veo_lora_tuning_spec = 38;
      Specified by:
      getVeoLoraTuningSpecOrBuilder in interface TuningJobOrBuilder

    • getName

      public 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];
      Specified by:
      getName in interface TuningJobOrBuilder
      Returns:
      The name.

    • getNameBytes

      public 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];
      Specified by:
      getNameBytes in interface TuningJobOrBuilder
      Returns:
      The bytes for name.

    • setName

      public TuningJob.Builder setName(String value)
       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];
      Parameters:
      value - The name to set.
      Returns:
      This builder for chaining.

    • clearName

      public TuningJob.Builder clearName()
       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:
      This builder for chaining.

    • setNameBytes

      public TuningJob.Builder setNameBytes(com.google.protobuf.ByteString value)
       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];
      Parameters:
      value - The bytes for name to set.
      Returns:
      This builder for chaining.

    • getTunedModelDisplayName

      public 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];
      Specified by:
      getTunedModelDisplayName in interface TuningJobOrBuilder
      Returns:
      The tunedModelDisplayName.

    • getTunedModelDisplayNameBytes

      public 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];
      Specified by:
      getTunedModelDisplayNameBytes in interface TuningJobOrBuilder
      Returns:
      The bytes for tunedModelDisplayName.

    • setTunedModelDisplayName

      public TuningJob.Builder setTunedModelDisplayName(String value)
       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];
      Parameters:
      value - The tunedModelDisplayName to set.
      Returns:
      This builder for chaining.

    • clearTunedModelDisplayName

      public TuningJob.Builder clearTunedModelDisplayName()
       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:
      This builder for chaining.

    • setTunedModelDisplayNameBytes

      public TuningJob.Builder setTunedModelDisplayNameBytes(com.google.protobuf.ByteString value)
       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];
      Parameters:
      value - The bytes for tunedModelDisplayName to set.
      Returns:
      This builder for chaining.

    • getDescription

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

    • getDescriptionBytes

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

    • setDescription

      public TuningJob.Builder setDescription(String value)
       Optional. The description of the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      string description = 3 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      value - The description to set.
      Returns:
      This builder for chaining.

    • clearDescription

      public TuningJob.Builder clearDescription()
       Optional. The description of the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      string description = 3 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      This builder for chaining.

    • setDescriptionBytes

      public TuningJob.Builder setDescriptionBytes(com.google.protobuf.ByteString value)
       Optional. The description of the
 [TuningJob][google.cloud.aiplatform.v1.TuningJob].
      string description = 3 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      value - The bytes for description to set.
      Returns:
      This builder for chaining.

    • getCustomBaseModel

      public 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];
      Specified by:
      getCustomBaseModel in interface TuningJobOrBuilder
      Returns:
      The customBaseModel.

    • getCustomBaseModelBytes

      public 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];
      Specified by:
      getCustomBaseModelBytes in interface TuningJobOrBuilder
      Returns:
      The bytes for customBaseModel.

    • setCustomBaseModel

      public TuningJob.Builder setCustomBaseModel(String value)
       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];
      Parameters:
      value - The customBaseModel to set.
      Returns:
      This builder for chaining.

    • clearCustomBaseModel

      public TuningJob.Builder clearCustomBaseModel()
       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:
      This builder for chaining.

    • setCustomBaseModelBytes

      public TuningJob.Builder setCustomBaseModelBytes(com.google.protobuf.ByteString value)
       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];
      Parameters:
      value - The bytes for customBaseModel to set.
      Returns:
      This builder for chaining.

    • getStateValue

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

    • setStateValue

      public TuningJob.Builder setStateValue(int value)
       Output only. The detailed state of the job.
      .google.cloud.aiplatform.v1beta1.JobState state = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Parameters:
      value - The enum numeric value on the wire for state to set.
      Returns:
      This builder for chaining.

    • getState

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

    • setState

      public TuningJob.Builder setState(JobState value)
       Output only. The detailed state of the job.
      .google.cloud.aiplatform.v1beta1.JobState state = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Parameters:
      value - The state to set.
      Returns:
      This builder for chaining.

    • clearState

      public TuningJob.Builder clearState()
       Output only. The detailed state of the job.
      .google.cloud.aiplatform.v1beta1.JobState state = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      This builder for chaining.

    • hasCreateTime

      public 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];
      Specified by:
      hasCreateTime in interface TuningJobOrBuilder
      Returns:
      Whether the createTime field is set.

    • getCreateTime

      public 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];
      Specified by:
      getCreateTime in interface TuningJobOrBuilder
      Returns:
      The createTime.

    • setCreateTime

      public TuningJob.Builder setCreateTime(com.google.protobuf.Timestamp value)
       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];

    • setCreateTime

      public TuningJob.Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)
       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];

    • mergeCreateTime

      public TuningJob.Builder mergeCreateTime(com.google.protobuf.Timestamp value)
       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];

    • clearCreateTime

      public TuningJob.Builder clearCreateTime()
       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];

    • getCreateTimeBuilder

      public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()
       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];

    • getCreateTimeOrBuilder

      public 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];
      Specified by:
      getCreateTimeOrBuilder in interface TuningJobOrBuilder

    • hasStartTime

      public 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];
      Specified by:
      hasStartTime in interface TuningJobOrBuilder
      Returns:
      Whether the startTime field is set.

    • getStartTime

      public 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];
      Specified by:
      getStartTime in interface TuningJobOrBuilder
      Returns:
      The startTime.

    • setStartTime

      public TuningJob.Builder setStartTime(com.google.protobuf.Timestamp value)
       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];

    • setStartTime

      public TuningJob.Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValue)
       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];

    • mergeStartTime

      public TuningJob.Builder mergeStartTime(com.google.protobuf.Timestamp value)
       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];

    • clearStartTime

      public TuningJob.Builder clearStartTime()
       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];

    • getStartTimeBuilder

      public com.google.protobuf.Timestamp.Builder getStartTimeBuilder()
       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];

    • getStartTimeOrBuilder

      public 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];
      Specified by:
      getStartTimeOrBuilder in interface TuningJobOrBuilder

    • hasEndTime

      public 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];
      Specified by:
      hasEndTime in interface TuningJobOrBuilder
      Returns:
      Whether the endTime field is set.

    • getEndTime

      public 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];
      Specified by:
      getEndTime in interface TuningJobOrBuilder
      Returns:
      The endTime.

    • setEndTime

      public TuningJob.Builder setEndTime(com.google.protobuf.Timestamp value)
       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];

    • setEndTime

      public TuningJob.Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)
       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];

    • mergeEndTime

      public TuningJob.Builder mergeEndTime(com.google.protobuf.Timestamp value)
       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];

    • clearEndTime

      public TuningJob.Builder clearEndTime()
       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];

    • getEndTimeBuilder

      public com.google.protobuf.Timestamp.Builder getEndTimeBuilder()
       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];

    • getEndTimeOrBuilder

      public 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];
      Specified by:
      getEndTimeOrBuilder in interface TuningJobOrBuilder

    • hasUpdateTime

      public 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];
      Specified by:
      hasUpdateTime in interface TuningJobOrBuilder
      Returns:
      Whether the updateTime field is set.

    • getUpdateTime

      public 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];
      Specified by:
      getUpdateTime in interface TuningJobOrBuilder
      Returns:
      The updateTime.

    • setUpdateTime

      public TuningJob.Builder setUpdateTime(com.google.protobuf.Timestamp value)
       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];

    • setUpdateTime

      public TuningJob.Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue)
       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];

    • mergeUpdateTime

      public TuningJob.Builder mergeUpdateTime(com.google.protobuf.Timestamp value)
       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];

    • clearUpdateTime

      public TuningJob.Builder clearUpdateTime()
       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];

    • getUpdateTimeBuilder

      public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder()
       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];

    • getUpdateTimeOrBuilder

      public 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];
      Specified by:
      getUpdateTimeOrBuilder in interface TuningJobOrBuilder

    • hasError

      public 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];
      Specified by:
      hasError in interface TuningJobOrBuilder
      Returns:
      Whether the error field is set.

    • getError

      public 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];
      Specified by:
      getError in interface TuningJobOrBuilder
      Returns:
      The error.

    • setError

      public TuningJob.Builder setError(Status value)
       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];

    • setError

      public TuningJob.Builder setError(Status.Builder builderForValue)
       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];

    • mergeError

      public TuningJob.Builder mergeError(Status value)
       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];

    • clearError

      public TuningJob.Builder clearError()
       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];

    • getErrorBuilder

      public Status.Builder getErrorBuilder()
       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];

    • getErrorOrBuilder

      public 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];
      Specified by:
      getErrorOrBuilder in interface TuningJobOrBuilder

    • getLabelsCount

      public int getLabelsCount()
      Description copied from interface: TuningJobOrBuilder
       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];
      Specified by:
      getLabelsCount in interface TuningJobOrBuilder

    • containsLabels

      public 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];
      Specified by:
      containsLabels in interface TuningJobOrBuilder

    • getLabels

      @Deprecated public Map<String,String> getLabels()
      Deprecated.
      Use getLabelsMap() instead.
      Specified by:
      getLabels in interface TuningJobOrBuilder

    • getLabelsMap

      public 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];
      Specified by:
      getLabelsMap in interface TuningJobOrBuilder

    • getLabelsOrDefault

      public 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];
      Specified by:
      getLabelsOrDefault in interface TuningJobOrBuilder

    • getLabelsOrThrow

      public 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];
      Specified by:
      getLabelsOrThrow in interface TuningJobOrBuilder

    • clearLabels

      public TuningJob.Builder clearLabels()

    • removeLabels

      public TuningJob.Builder removeLabels(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];

    • getMutableLabels

      @Deprecated public Map<String,String> getMutableLabels()
      Deprecated.
      Use alternate mutation accessors instead.

    • putLabels

      public TuningJob.Builder putLabels(String key, String value)
       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];

    • putAllLabels

      public TuningJob.Builder putAllLabels(Map<String,String> values)
       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

      public 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) = { ... }
      Specified by:
      getExperiment in interface TuningJobOrBuilder
      Returns:
      The experiment.

    • getExperimentBytes

      public 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) = { ... }
      Specified by:
      getExperimentBytes in interface TuningJobOrBuilder
      Returns:
      The bytes for experiment.

    • setExperiment

      public TuningJob.Builder setExperiment(String value)
       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) = { ... }
      Parameters:
      value - The experiment to set.
      Returns:
      This builder for chaining.

    • clearExperiment

      public TuningJob.Builder clearExperiment()
       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:
      This builder for chaining.

    • setExperimentBytes

      public TuningJob.Builder setExperimentBytes(com.google.protobuf.ByteString value)
       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) = { ... }
      Parameters:
      value - The bytes for experiment to set.
      Returns:
      This builder for chaining.

    • hasTunedModel

      public 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];
      Specified by:
      hasTunedModel in interface TuningJobOrBuilder
      Returns:
      Whether the tunedModel field is set.

    • getTunedModel

      public 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];
      Specified by:
      getTunedModel in interface TuningJobOrBuilder
      Returns:
      The tunedModel.

    • setTunedModel

      public TuningJob.Builder setTunedModel(TunedModel value)
       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];

    • setTunedModel

      public TuningJob.Builder setTunedModel(TunedModel.Builder builderForValue)
       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];

    • mergeTunedModel

      public TuningJob.Builder mergeTunedModel(TunedModel value)
       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];

    • clearTunedModel

      public TuningJob.Builder clearTunedModel()
       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];

    • getTunedModelBuilder

      public TunedModel.Builder getTunedModelBuilder()
       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];

    • getTunedModelOrBuilder

      public 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];
      Specified by:
      getTunedModelOrBuilder in interface TuningJobOrBuilder

    • hasTuningDataStats

      public 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];
      Specified by:
      hasTuningDataStats in interface TuningJobOrBuilder
      Returns:
      Whether the tuningDataStats field is set.

    • getTuningDataStats

      public 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];
      Specified by:
      getTuningDataStats in interface TuningJobOrBuilder
      Returns:
      The tuningDataStats.

    • setTuningDataStats

      public TuningJob.Builder setTuningDataStats(TuningDataStats value)
       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];

    • setTuningDataStats

      public TuningJob.Builder setTuningDataStats(TuningDataStats.Builder builderForValue)
       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];

    • mergeTuningDataStats

      public TuningJob.Builder mergeTuningDataStats(TuningDataStats value)
       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];

    • clearTuningDataStats

      public TuningJob.Builder clearTuningDataStats()
       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];

    • getTuningDataStatsBuilder

      public TuningDataStats.Builder getTuningDataStatsBuilder()
       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];

    • getTuningDataStatsOrBuilder

      public 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];
      Specified by:
      getTuningDataStatsOrBuilder in interface TuningJobOrBuilder

    • getPipelineJob

      public 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) = { ... }
      Specified by:
      getPipelineJob in interface TuningJobOrBuilder
      Returns:
      The pipelineJob.

    • getPipelineJobBytes

      public 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) = { ... }
      Specified by:
      getPipelineJobBytes in interface TuningJobOrBuilder
      Returns:
      The bytes for pipelineJob.

    • setPipelineJob

      public TuningJob.Builder setPipelineJob(String value)
       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) = { ... }
      Parameters:
      value - The pipelineJob to set.
      Returns:
      This builder for chaining.

    • clearPipelineJob

      public TuningJob.Builder clearPipelineJob()
       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:
      This builder for chaining.

    • setPipelineJobBytes

      public TuningJob.Builder setPipelineJobBytes(com.google.protobuf.ByteString value)
       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) = { ... }
      Parameters:
      value - The bytes for pipelineJob to set.
      Returns:
      This builder for chaining.

    • hasEncryptionSpec

      public 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;
      Specified by:
      hasEncryptionSpec in interface TuningJobOrBuilder
      Returns:
      Whether the encryptionSpec field is set.

    • getEncryptionSpec

      public 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;
      Specified by:
      getEncryptionSpec in interface TuningJobOrBuilder
      Returns:
      The encryptionSpec.

    • setEncryptionSpec

      public TuningJob.Builder setEncryptionSpec(EncryptionSpec value)
       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;

    • setEncryptionSpec

      public TuningJob.Builder setEncryptionSpec(EncryptionSpec.Builder builderForValue)
       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;

    • mergeEncryptionSpec

      public TuningJob.Builder mergeEncryptionSpec(EncryptionSpec value)
       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;

    • clearEncryptionSpec

      public TuningJob.Builder clearEncryptionSpec()
       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;

    • getEncryptionSpecBuilder

      public EncryptionSpec.Builder getEncryptionSpecBuilder()
       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;

    • getEncryptionSpecOrBuilder

      public 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;
      Specified by:
      getEncryptionSpecOrBuilder in interface TuningJobOrBuilder

    • getServiceAccount

      public 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;
      Specified by:
      getServiceAccount in interface TuningJobOrBuilder
      Returns:
      The serviceAccount.

    • getServiceAccountBytes

      public 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;
      Specified by:
      getServiceAccountBytes in interface TuningJobOrBuilder
      Returns:
      The bytes for serviceAccount.

    • setServiceAccount

      public TuningJob.Builder setServiceAccount(String value)
       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;
      Parameters:
      value - The serviceAccount to set.
      Returns:
      This builder for chaining.

    • clearServiceAccount

      public TuningJob.Builder clearServiceAccount()
       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:
      This builder for chaining.

    • setServiceAccountBytes

      public TuningJob.Builder setServiceAccountBytes(com.google.protobuf.ByteString value)
       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;
      Parameters:
      value - The bytes for serviceAccount to set.
      Returns:
      This builder for chaining.

    • getOutputUri

      public 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];
      Specified by:
      getOutputUri in interface TuningJobOrBuilder
      Returns:
      The outputUri.

    • getOutputUriBytes

      public 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];
      Specified by:
      getOutputUriBytes in interface TuningJobOrBuilder
      Returns:
      The bytes for outputUri.

    • setOutputUri

      public TuningJob.Builder setOutputUri(String value)
       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];
      Parameters:
      value - The outputUri to set.
      Returns:
      This builder for chaining.

    • clearOutputUri

      public TuningJob.Builder clearOutputUri()
       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:
      This builder for chaining.

    • setOutputUriBytes

      public TuningJob.Builder setOutputUriBytes(com.google.protobuf.ByteString value)
       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];
      Parameters:
      value - The bytes for outputUri to set.
      Returns:
      This builder for chaining.

    • getEvaluateDatasetRunsList

      public 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];
      Specified by:
      getEvaluateDatasetRunsList in interface TuningJobOrBuilder

    • getEvaluateDatasetRunsCount

      public 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];
      Specified by:
      getEvaluateDatasetRunsCount in interface TuningJobOrBuilder

    • getEvaluateDatasetRuns

      public 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];
      Specified by:
      getEvaluateDatasetRuns in interface TuningJobOrBuilder

    • setEvaluateDatasetRuns

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

    • setEvaluateDatasetRuns

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

    • addEvaluateDatasetRuns

      public TuningJob.Builder addEvaluateDatasetRuns(EvaluateDatasetRun value)
       Output only. Evaluation runs for the Tuning Job.
      repeated .google.cloud.aiplatform.v1beta1.EvaluateDatasetRun evaluate_dataset_runs = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • addEvaluateDatasetRuns

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

    • addEvaluateDatasetRuns

      public TuningJob.Builder addEvaluateDatasetRuns(EvaluateDatasetRun.Builder builderForValue)
       Output only. Evaluation runs for the Tuning Job.
      repeated .google.cloud.aiplatform.v1beta1.EvaluateDatasetRun evaluate_dataset_runs = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • addEvaluateDatasetRuns

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

    • addAllEvaluateDatasetRuns

      public TuningJob.Builder addAllEvaluateDatasetRuns(Iterable<? extends EvaluateDatasetRun> values)
       Output only. Evaluation runs for the Tuning Job.
      repeated .google.cloud.aiplatform.v1beta1.EvaluateDatasetRun evaluate_dataset_runs = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • clearEvaluateDatasetRuns

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

    • removeEvaluateDatasetRuns

      public TuningJob.Builder removeEvaluateDatasetRuns(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];

    • getEvaluateDatasetRunsBuilder

      public EvaluateDatasetRun.Builder getEvaluateDatasetRunsBuilder(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];

    • getEvaluateDatasetRunsOrBuilder

      public 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];
      Specified by:
      getEvaluateDatasetRunsOrBuilder in interface TuningJobOrBuilder

    • getEvaluateDatasetRunsOrBuilderList

      public 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];
      Specified by:
      getEvaluateDatasetRunsOrBuilderList in interface TuningJobOrBuilder

    • addEvaluateDatasetRunsBuilder

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

    • addEvaluateDatasetRunsBuilder

      public EvaluateDatasetRun.Builder addEvaluateDatasetRunsBuilder(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];

    • getEvaluateDatasetRunsBuilderList

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