Package com.google.cloud.aiplatform.v1beta1

Class CustomJobSpec.Builder

  • All Implemented Interfaces:
    CustomJobSpecOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
    Enclosing class:
    CustomJobSpec
    public static final class CustomJobSpec.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<CustomJobSpec.Builder>
implements CustomJobSpecOrBuilder
     Represents the spec of a CustomJob.
    Protobuf type google.cloud.aiplatform.v1beta1.CustomJobSpec

    • Method Detail

      • getDescriptor

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

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<CustomJobSpec.Builder>

      • clear

        public CustomJobSpec.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.GeneratedMessageV3.Builder<CustomJobSpec.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.GeneratedMessageV3.Builder<CustomJobSpec.Builder>

      • getDefaultInstanceForType

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

      • build

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

      • buildPartial

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

      • clone

        public CustomJobSpec.Builder clone()
        Specified by:
        clone in interface com.google.protobuf.Message.Builder
        Specified by:
        clone in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clone in class com.google.protobuf.GeneratedMessageV3.Builder<CustomJobSpec.Builder>

      • setField

        public CustomJobSpec.Builder setField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                      Object value)
        Specified by:
        setField in interface com.google.protobuf.Message.Builder
        Overrides:
        setField in class com.google.protobuf.GeneratedMessageV3.Builder<CustomJobSpec.Builder>

      • clearField

        public CustomJobSpec.Builder clearField​(com.google.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface com.google.protobuf.Message.Builder
        Overrides:
        clearField in class com.google.protobuf.GeneratedMessageV3.Builder<CustomJobSpec.Builder>

      • clearOneof

        public CustomJobSpec.Builder clearOneof​(com.google.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface com.google.protobuf.Message.Builder
        Overrides:
        clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<CustomJobSpec.Builder>

      • setRepeatedField

        public CustomJobSpec.Builder setRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                              int index,
                                              Object value)
        Specified by:
        setRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<CustomJobSpec.Builder>

      • addRepeatedField

        public CustomJobSpec.Builder addRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                              Object value)
        Specified by:
        addRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<CustomJobSpec.Builder>

      • mergeFrom

        public CustomJobSpec.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<CustomJobSpec.Builder>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<CustomJobSpec.Builder>

      • mergeFrom

        public CustomJobSpec.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<CustomJobSpec.Builder>
        Throws:
        IOException

      • getPersistentResourceId

        public String getPersistentResourceId()
         Optional. The ID of the PersistentResource in the same Project and Location
 which to run

 If this is specified, the job will be run on existing machines held by the
 PersistentResource instead of on-demand short-live machines.
 The network and CMEK configs on the job should be consistent with those on
 the PersistentResource, otherwise, the job will be rejected.
        string persistent_resource_id = 14 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Specified by:
        getPersistentResourceId in interface CustomJobSpecOrBuilder
        Returns:
        The persistentResourceId.

      • getPersistentResourceIdBytes

        public com.google.protobuf.ByteString getPersistentResourceIdBytes()
         Optional. The ID of the PersistentResource in the same Project and Location
 which to run

 If this is specified, the job will be run on existing machines held by the
 PersistentResource instead of on-demand short-live machines.
 The network and CMEK configs on the job should be consistent with those on
 the PersistentResource, otherwise, the job will be rejected.
        string persistent_resource_id = 14 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Specified by:
        getPersistentResourceIdBytes in interface CustomJobSpecOrBuilder
        Returns:
        The bytes for persistentResourceId.

      • setPersistentResourceId

        public CustomJobSpec.Builder setPersistentResourceId​(String value)
         Optional. The ID of the PersistentResource in the same Project and Location
 which to run

 If this is specified, the job will be run on existing machines held by the
 PersistentResource instead of on-demand short-live machines.
 The network and CMEK configs on the job should be consistent with those on
 the PersistentResource, otherwise, the job will be rejected.
        string persistent_resource_id = 14 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Parameters:
        value - The persistentResourceId to set.
        Returns:
        This builder for chaining.

      • clearPersistentResourceId

        public CustomJobSpec.Builder clearPersistentResourceId()
         Optional. The ID of the PersistentResource in the same Project and Location
 which to run

 If this is specified, the job will be run on existing machines held by the
 PersistentResource instead of on-demand short-live machines.
 The network and CMEK configs on the job should be consistent with those on
 the PersistentResource, otherwise, the job will be rejected.
        string persistent_resource_id = 14 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Returns:
        This builder for chaining.

      • setPersistentResourceIdBytes

        public CustomJobSpec.Builder setPersistentResourceIdBytes​(com.google.protobuf.ByteString value)
         Optional. The ID of the PersistentResource in the same Project and Location
 which to run

 If this is specified, the job will be run on existing machines held by the
 PersistentResource instead of on-demand short-live machines.
 The network and CMEK configs on the job should be consistent with those on
 the PersistentResource, otherwise, the job will be rejected.
        string persistent_resource_id = 14 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Parameters:
        value - The bytes for persistentResourceId to set.
        Returns:
        This builder for chaining.

      • getWorkerPoolSpecsList

        public List<WorkerPoolSpec> getWorkerPoolSpecsList()
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getWorkerPoolSpecsList in interface CustomJobSpecOrBuilder

      • getWorkerPoolSpecsCount

        public int getWorkerPoolSpecsCount()
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getWorkerPoolSpecsCount in interface CustomJobSpecOrBuilder

      • getWorkerPoolSpecs

        public WorkerPoolSpec getWorkerPoolSpecs​(int index)
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getWorkerPoolSpecs in interface CustomJobSpecOrBuilder

      • setWorkerPoolSpecs

        public CustomJobSpec.Builder setWorkerPoolSpecs​(int index,
                                                WorkerPoolSpec value)
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • setWorkerPoolSpecs

        public CustomJobSpec.Builder setWorkerPoolSpecs​(int index,
                                                WorkerPoolSpec.Builder builderForValue)
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • addWorkerPoolSpecs

        public CustomJobSpec.Builder addWorkerPoolSpecs​(WorkerPoolSpec value)
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • addWorkerPoolSpecs

        public CustomJobSpec.Builder addWorkerPoolSpecs​(int index,
                                                WorkerPoolSpec value)
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • addWorkerPoolSpecs

        public CustomJobSpec.Builder addWorkerPoolSpecs​(WorkerPoolSpec.Builder builderForValue)
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • addWorkerPoolSpecs

        public CustomJobSpec.Builder addWorkerPoolSpecs​(int index,
                                                WorkerPoolSpec.Builder builderForValue)
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • addAllWorkerPoolSpecs

        public CustomJobSpec.Builder addAllWorkerPoolSpecs​(Iterable<? extends WorkerPoolSpec> values)
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • clearWorkerPoolSpecs

        public CustomJobSpec.Builder clearWorkerPoolSpecs()
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • removeWorkerPoolSpecs

        public CustomJobSpec.Builder removeWorkerPoolSpecs​(int index)
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • getWorkerPoolSpecsBuilder

        public WorkerPoolSpec.Builder getWorkerPoolSpecsBuilder​(int index)
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • getWorkerPoolSpecsOrBuilder

        public WorkerPoolSpecOrBuilder getWorkerPoolSpecsOrBuilder​(int index)
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getWorkerPoolSpecsOrBuilder in interface CustomJobSpecOrBuilder

      • getWorkerPoolSpecsOrBuilderList

        public List<? extends WorkerPoolSpecOrBuilder> getWorkerPoolSpecsOrBuilderList()
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getWorkerPoolSpecsOrBuilderList in interface CustomJobSpecOrBuilder

      • addWorkerPoolSpecsBuilder

        public WorkerPoolSpec.Builder addWorkerPoolSpecsBuilder()
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • addWorkerPoolSpecsBuilder

        public WorkerPoolSpec.Builder addWorkerPoolSpecsBuilder​(int index)
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • getWorkerPoolSpecsBuilderList

        public List<WorkerPoolSpec.Builder> getWorkerPoolSpecsBuilderList()
         Required. The spec of the worker pools including machine type and Docker
 image. All worker pools except the first one are optional and can be
 skipped by providing an empty value.
        repeated .google.cloud.aiplatform.v1beta1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];

      • hasScheduling

        public boolean hasScheduling()
         Scheduling options for a CustomJob.
        .google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;
        Specified by:
        hasScheduling in interface CustomJobSpecOrBuilder
        Returns:
        Whether the scheduling field is set.

      • getScheduling

        public Scheduling getScheduling()
         Scheduling options for a CustomJob.
        .google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;
        Specified by:
        getScheduling in interface CustomJobSpecOrBuilder
        Returns:
        The scheduling.

      • setScheduling

        public CustomJobSpec.Builder setScheduling​(Scheduling value)
         Scheduling options for a CustomJob.
        .google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

      • setScheduling

        public CustomJobSpec.Builder setScheduling​(Scheduling.Builder builderForValue)
         Scheduling options for a CustomJob.
        .google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

      • mergeScheduling

        public CustomJobSpec.Builder mergeScheduling​(Scheduling value)
         Scheduling options for a CustomJob.
        .google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

      • clearScheduling

        public CustomJobSpec.Builder clearScheduling()
         Scheduling options for a CustomJob.
        .google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

      • getSchedulingBuilder

        public Scheduling.Builder getSchedulingBuilder()
         Scheduling options for a CustomJob.
        .google.cloud.aiplatform.v1beta1.Scheduling scheduling = 3;

      • getServiceAccount

        public String getServiceAccount()
         Specifies the service account for workload run-as account.
 Users submitting jobs must have act-as permission on this run-as account.
 If unspecified, the [Vertex AI Custom Code Service
 Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
 for the CustomJob's project is used.
        string service_account = 4;
        Specified by:
        getServiceAccount in interface CustomJobSpecOrBuilder
        Returns:
        The serviceAccount.

      • getServiceAccountBytes

        public com.google.protobuf.ByteString getServiceAccountBytes()
         Specifies the service account for workload run-as account.
 Users submitting jobs must have act-as permission on this run-as account.
 If unspecified, the [Vertex AI Custom Code Service
 Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
 for the CustomJob's project is used.
        string service_account = 4;
        Specified by:
        getServiceAccountBytes in interface CustomJobSpecOrBuilder
        Returns:
        The bytes for serviceAccount.

      • setServiceAccount

        public CustomJobSpec.Builder setServiceAccount​(String value)
         Specifies the service account for workload run-as account.
 Users submitting jobs must have act-as permission on this run-as account.
 If unspecified, the [Vertex AI Custom Code Service
 Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
 for the CustomJob's project is used.
        string service_account = 4;
        Parameters:
        value - The serviceAccount to set.
        Returns:
        This builder for chaining.

      • clearServiceAccount

        public CustomJobSpec.Builder clearServiceAccount()
         Specifies the service account for workload run-as account.
 Users submitting jobs must have act-as permission on this run-as account.
 If unspecified, the [Vertex AI Custom Code Service
 Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
 for the CustomJob's project is used.
        string service_account = 4;
        Returns:
        This builder for chaining.

      • setServiceAccountBytes

        public CustomJobSpec.Builder setServiceAccountBytes​(com.google.protobuf.ByteString value)
         Specifies the service account for workload run-as account.
 Users submitting jobs must have act-as permission on this run-as account.
 If unspecified, the [Vertex AI Custom Code Service
 Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
 for the CustomJob's project is used.
        string service_account = 4;
        Parameters:
        value - The bytes for serviceAccount to set.
        Returns:
        This builder for chaining.

      • getNetwork

        public String getNetwork()
         Optional. The full name of the Compute Engine
 [network](/compute/docs/networks-and-firewalls#networks) to which the Job
 should be peered. For example, `projects/12345/global/networks/myVPC`.
 [Format](/compute/docs/reference/rest/v1/networks/insert)
 is of the form `projects/{project}/global/networks/{network}`.
 Where {project} is a project number, as in `12345`, and {network} is a
 network name.

 To specify this field, you must have already [configured VPC Network
 Peering for Vertex
 AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).

 If this field is left unspecified, the job is not peered with any network.
        string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Specified by:
        getNetwork in interface CustomJobSpecOrBuilder
        Returns:
        The network.

      • getNetworkBytes

        public com.google.protobuf.ByteString getNetworkBytes()
         Optional. The full name of the Compute Engine
 [network](/compute/docs/networks-and-firewalls#networks) to which the Job
 should be peered. For example, `projects/12345/global/networks/myVPC`.
 [Format](/compute/docs/reference/rest/v1/networks/insert)
 is of the form `projects/{project}/global/networks/{network}`.
 Where {project} is a project number, as in `12345`, and {network} is a
 network name.

 To specify this field, you must have already [configured VPC Network
 Peering for Vertex
 AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).

 If this field is left unspecified, the job is not peered with any network.
        string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Specified by:
        getNetworkBytes in interface CustomJobSpecOrBuilder
        Returns:
        The bytes for network.

      • setNetwork

        public CustomJobSpec.Builder setNetwork​(String value)
         Optional. The full name of the Compute Engine
 [network](/compute/docs/networks-and-firewalls#networks) to which the Job
 should be peered. For example, `projects/12345/global/networks/myVPC`.
 [Format](/compute/docs/reference/rest/v1/networks/insert)
 is of the form `projects/{project}/global/networks/{network}`.
 Where {project} is a project number, as in `12345`, and {network} is a
 network name.

 To specify this field, you must have already [configured VPC Network
 Peering for Vertex
 AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).

 If this field is left unspecified, the job is not peered with any network.
        string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Parameters:
        value - The network to set.
        Returns:
        This builder for chaining.

      • clearNetwork

        public CustomJobSpec.Builder clearNetwork()
         Optional. The full name of the Compute Engine
 [network](/compute/docs/networks-and-firewalls#networks) to which the Job
 should be peered. For example, `projects/12345/global/networks/myVPC`.
 [Format](/compute/docs/reference/rest/v1/networks/insert)
 is of the form `projects/{project}/global/networks/{network}`.
 Where {project} is a project number, as in `12345`, and {network} is a
 network name.

 To specify this field, you must have already [configured VPC Network
 Peering for Vertex
 AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).

 If this field is left unspecified, the job is not peered with any network.
        string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Returns:
        This builder for chaining.

      • setNetworkBytes

        public CustomJobSpec.Builder setNetworkBytes​(com.google.protobuf.ByteString value)
         Optional. The full name of the Compute Engine
 [network](/compute/docs/networks-and-firewalls#networks) to which the Job
 should be peered. For example, `projects/12345/global/networks/myVPC`.
 [Format](/compute/docs/reference/rest/v1/networks/insert)
 is of the form `projects/{project}/global/networks/{network}`.
 Where {project} is a project number, as in `12345`, and {network} is a
 network name.

 To specify this field, you must have already [configured VPC Network
 Peering for Vertex
 AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).

 If this field is left unspecified, the job is not peered with any network.
        string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Parameters:
        value - The bytes for network to set.
        Returns:
        This builder for chaining.

      • getReservedIpRangesList

        public com.google.protobuf.ProtocolStringList getReservedIpRangesList()
         Optional. A list of names for the reserved ip ranges under the VPC network
 that can be used for this job.

 If set, we will deploy the job within the provided ip ranges. Otherwise,
 the job will be deployed to any ip ranges under the provided VPC
 network.

 Example: ['vertex-ai-ip-range'].
        repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
        Specified by:
        getReservedIpRangesList in interface CustomJobSpecOrBuilder
        Returns:
        A list containing the reservedIpRanges.

      • getReservedIpRangesCount

        public int getReservedIpRangesCount()
         Optional. A list of names for the reserved ip ranges under the VPC network
 that can be used for this job.

 If set, we will deploy the job within the provided ip ranges. Otherwise,
 the job will be deployed to any ip ranges under the provided VPC
 network.

 Example: ['vertex-ai-ip-range'].
        repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
        Specified by:
        getReservedIpRangesCount in interface CustomJobSpecOrBuilder
        Returns:
        The count of reservedIpRanges.

      • getReservedIpRanges

        public String getReservedIpRanges​(int index)
         Optional. A list of names for the reserved ip ranges under the VPC network
 that can be used for this job.

 If set, we will deploy the job within the provided ip ranges. Otherwise,
 the job will be deployed to any ip ranges under the provided VPC
 network.

 Example: ['vertex-ai-ip-range'].
        repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
        Specified by:
        getReservedIpRanges in interface CustomJobSpecOrBuilder
        Parameters:
        index - The index of the element to return.
        Returns:
        The reservedIpRanges at the given index.

      • getReservedIpRangesBytes

        public com.google.protobuf.ByteString getReservedIpRangesBytes​(int index)
         Optional. A list of names for the reserved ip ranges under the VPC network
 that can be used for this job.

 If set, we will deploy the job within the provided ip ranges. Otherwise,
 the job will be deployed to any ip ranges under the provided VPC
 network.

 Example: ['vertex-ai-ip-range'].
        repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
        Specified by:
        getReservedIpRangesBytes in interface CustomJobSpecOrBuilder
        Parameters:
        index - The index of the value to return.
        Returns:
        The bytes of the reservedIpRanges at the given index.

      • setReservedIpRanges

        public CustomJobSpec.Builder setReservedIpRanges​(int index,
                                                 String value)
         Optional. A list of names for the reserved ip ranges under the VPC network
 that can be used for this job.

 If set, we will deploy the job within the provided ip ranges. Otherwise,
 the job will be deployed to any ip ranges under the provided VPC
 network.

 Example: ['vertex-ai-ip-range'].
        repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
        Parameters:
        index - The index to set the value at.
        value - The reservedIpRanges to set.
        Returns:
        This builder for chaining.

      • addReservedIpRanges

        public CustomJobSpec.Builder addReservedIpRanges​(String value)
         Optional. A list of names for the reserved ip ranges under the VPC network
 that can be used for this job.

 If set, we will deploy the job within the provided ip ranges. Otherwise,
 the job will be deployed to any ip ranges under the provided VPC
 network.

 Example: ['vertex-ai-ip-range'].
        repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
        Parameters:
        value - The reservedIpRanges to add.
        Returns:
        This builder for chaining.

      • addAllReservedIpRanges

        public CustomJobSpec.Builder addAllReservedIpRanges​(Iterable<String> values)
         Optional. A list of names for the reserved ip ranges under the VPC network
 that can be used for this job.

 If set, we will deploy the job within the provided ip ranges. Otherwise,
 the job will be deployed to any ip ranges under the provided VPC
 network.

 Example: ['vertex-ai-ip-range'].
        repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
        Parameters:
        values - The reservedIpRanges to add.
        Returns:
        This builder for chaining.

      • clearReservedIpRanges

        public CustomJobSpec.Builder clearReservedIpRanges()
         Optional. A list of names for the reserved ip ranges under the VPC network
 that can be used for this job.

 If set, we will deploy the job within the provided ip ranges. Otherwise,
 the job will be deployed to any ip ranges under the provided VPC
 network.

 Example: ['vertex-ai-ip-range'].
        repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
        Returns:
        This builder for chaining.

      • addReservedIpRangesBytes

        public CustomJobSpec.Builder addReservedIpRangesBytes​(com.google.protobuf.ByteString value)
         Optional. A list of names for the reserved ip ranges under the VPC network
 that can be used for this job.

 If set, we will deploy the job within the provided ip ranges. Otherwise,
 the job will be deployed to any ip ranges under the provided VPC
 network.

 Example: ['vertex-ai-ip-range'].
        repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
        Parameters:
        value - The bytes of the reservedIpRanges to add.
        Returns:
        This builder for chaining.

      • hasBaseOutputDirectory

        public boolean hasBaseOutputDirectory()
         The Cloud Storage location to store the output of this CustomJob or
 HyperparameterTuningJob. For HyperparameterTuningJob,
 the baseOutputDirectory of
 each child CustomJob backing a Trial is set to a subdirectory of name
 [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
 HyperparameterTuningJob's baseOutputDirectory.

 The following Vertex AI environment variables will be passed to
 containers or python modules when this field is set:

   For CustomJob:

   * AIP_MODEL_DIR = `<base_output_directory>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`

   For CustomJob backing a Trial of HyperparameterTuningJob:

   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
        .google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;
        Specified by:
        hasBaseOutputDirectory in interface CustomJobSpecOrBuilder
        Returns:
        Whether the baseOutputDirectory field is set.

      • getBaseOutputDirectory

        public GcsDestination getBaseOutputDirectory()
         The Cloud Storage location to store the output of this CustomJob or
 HyperparameterTuningJob. For HyperparameterTuningJob,
 the baseOutputDirectory of
 each child CustomJob backing a Trial is set to a subdirectory of name
 [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
 HyperparameterTuningJob's baseOutputDirectory.

 The following Vertex AI environment variables will be passed to
 containers or python modules when this field is set:

   For CustomJob:

   * AIP_MODEL_DIR = `<base_output_directory>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`

   For CustomJob backing a Trial of HyperparameterTuningJob:

   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
        .google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;
        Specified by:
        getBaseOutputDirectory in interface CustomJobSpecOrBuilder
        Returns:
        The baseOutputDirectory.

      • setBaseOutputDirectory

        public CustomJobSpec.Builder setBaseOutputDirectory​(GcsDestination value)
         The Cloud Storage location to store the output of this CustomJob or
 HyperparameterTuningJob. For HyperparameterTuningJob,
 the baseOutputDirectory of
 each child CustomJob backing a Trial is set to a subdirectory of name
 [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
 HyperparameterTuningJob's baseOutputDirectory.

 The following Vertex AI environment variables will be passed to
 containers or python modules when this field is set:

   For CustomJob:

   * AIP_MODEL_DIR = `<base_output_directory>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`

   For CustomJob backing a Trial of HyperparameterTuningJob:

   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
        .google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

      • setBaseOutputDirectory

        public CustomJobSpec.Builder setBaseOutputDirectory​(GcsDestination.Builder builderForValue)
         The Cloud Storage location to store the output of this CustomJob or
 HyperparameterTuningJob. For HyperparameterTuningJob,
 the baseOutputDirectory of
 each child CustomJob backing a Trial is set to a subdirectory of name
 [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
 HyperparameterTuningJob's baseOutputDirectory.

 The following Vertex AI environment variables will be passed to
 containers or python modules when this field is set:

   For CustomJob:

   * AIP_MODEL_DIR = `<base_output_directory>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`

   For CustomJob backing a Trial of HyperparameterTuningJob:

   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
        .google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

      • mergeBaseOutputDirectory

        public CustomJobSpec.Builder mergeBaseOutputDirectory​(GcsDestination value)
         The Cloud Storage location to store the output of this CustomJob or
 HyperparameterTuningJob. For HyperparameterTuningJob,
 the baseOutputDirectory of
 each child CustomJob backing a Trial is set to a subdirectory of name
 [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
 HyperparameterTuningJob's baseOutputDirectory.

 The following Vertex AI environment variables will be passed to
 containers or python modules when this field is set:

   For CustomJob:

   * AIP_MODEL_DIR = `<base_output_directory>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`

   For CustomJob backing a Trial of HyperparameterTuningJob:

   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
        .google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

      • clearBaseOutputDirectory

        public CustomJobSpec.Builder clearBaseOutputDirectory()
         The Cloud Storage location to store the output of this CustomJob or
 HyperparameterTuningJob. For HyperparameterTuningJob,
 the baseOutputDirectory of
 each child CustomJob backing a Trial is set to a subdirectory of name
 [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
 HyperparameterTuningJob's baseOutputDirectory.

 The following Vertex AI environment variables will be passed to
 containers or python modules when this field is set:

   For CustomJob:

   * AIP_MODEL_DIR = `<base_output_directory>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`

   For CustomJob backing a Trial of HyperparameterTuningJob:

   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
        .google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

      • getBaseOutputDirectoryBuilder

        public GcsDestination.Builder getBaseOutputDirectoryBuilder()
         The Cloud Storage location to store the output of this CustomJob or
 HyperparameterTuningJob. For HyperparameterTuningJob,
 the baseOutputDirectory of
 each child CustomJob backing a Trial is set to a subdirectory of name
 [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
 HyperparameterTuningJob's baseOutputDirectory.

 The following Vertex AI environment variables will be passed to
 containers or python modules when this field is set:

   For CustomJob:

   * AIP_MODEL_DIR = `<base_output_directory>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`

   For CustomJob backing a Trial of HyperparameterTuningJob:

   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
        .google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;

      • getBaseOutputDirectoryOrBuilder

        public GcsDestinationOrBuilder getBaseOutputDirectoryOrBuilder()
         The Cloud Storage location to store the output of this CustomJob or
 HyperparameterTuningJob. For HyperparameterTuningJob,
 the baseOutputDirectory of
 each child CustomJob backing a Trial is set to a subdirectory of name
 [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent
 HyperparameterTuningJob's baseOutputDirectory.

 The following Vertex AI environment variables will be passed to
 containers or python modules when this field is set:

   For CustomJob:

   * AIP_MODEL_DIR = `<base_output_directory>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`

   For CustomJob backing a Trial of HyperparameterTuningJob:

   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
        .google.cloud.aiplatform.v1beta1.GcsDestination base_output_directory = 6;
        Specified by:
        getBaseOutputDirectoryOrBuilder in interface CustomJobSpecOrBuilder

      • getTensorboard

        public String getTensorboard()
         Optional. The name of a Vertex AI
 [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
 which this CustomJob will upload Tensorboard logs. Format:
 `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Specified by:
        getTensorboard in interface CustomJobSpecOrBuilder
        Returns:
        The tensorboard.

      • getTensorboardBytes

        public com.google.protobuf.ByteString getTensorboardBytes()
         Optional. The name of a Vertex AI
 [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
 which this CustomJob will upload Tensorboard logs. Format:
 `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Specified by:
        getTensorboardBytes in interface CustomJobSpecOrBuilder
        Returns:
        The bytes for tensorboard.

      • setTensorboard

        public CustomJobSpec.Builder setTensorboard​(String value)
         Optional. The name of a Vertex AI
 [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
 which this CustomJob will upload Tensorboard logs. Format:
 `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Parameters:
        value - The tensorboard to set.
        Returns:
        This builder for chaining.

      • clearTensorboard

        public CustomJobSpec.Builder clearTensorboard()
         Optional. The name of a Vertex AI
 [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
 which this CustomJob will upload Tensorboard logs. Format:
 `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Returns:
        This builder for chaining.

      • setTensorboardBytes

        public CustomJobSpec.Builder setTensorboardBytes​(com.google.protobuf.ByteString value)
         Optional. The name of a Vertex AI
 [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to
 which this CustomJob will upload Tensorboard logs. Format:
 `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
        string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Parameters:
        value - The bytes for tensorboard to set.
        Returns:
        This builder for chaining.

      • getEnableWebAccess

        public boolean getEnableWebAccess()
         Optional. Whether you want Vertex AI to enable [interactive shell
 access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
 to training containers.

 If set to `true`, you can access interactive shells at the URIs given
 by
 [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
 or
 [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
 (within
 [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
        bool enable_web_access = 10 [(.google.api.field_behavior) = OPTIONAL];
        Specified by:
        getEnableWebAccess in interface CustomJobSpecOrBuilder
        Returns:
        The enableWebAccess.

      • setEnableWebAccess

        public CustomJobSpec.Builder setEnableWebAccess​(boolean value)
         Optional. Whether you want Vertex AI to enable [interactive shell
 access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
 to training containers.

 If set to `true`, you can access interactive shells at the URIs given
 by
 [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
 or
 [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
 (within
 [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
        bool enable_web_access = 10 [(.google.api.field_behavior) = OPTIONAL];
        Parameters:
        value - The enableWebAccess to set.
        Returns:
        This builder for chaining.

      • clearEnableWebAccess

        public CustomJobSpec.Builder clearEnableWebAccess()
         Optional. Whether you want Vertex AI to enable [interactive shell
 access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
 to training containers.

 If set to `true`, you can access interactive shells at the URIs given
 by
 [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
 or
 [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
 (within
 [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
        bool enable_web_access = 10 [(.google.api.field_behavior) = OPTIONAL];
        Returns:
        This builder for chaining.

      • getEnableDashboardAccess

        public boolean getEnableDashboardAccess()
         Optional. Whether you want Vertex AI to enable access to the customized
 dashboard in training chief container.

 If set to `true`, you can access the dashboard at the URIs given
 by
 [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
 or
 [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
 (within
 [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
        bool enable_dashboard_access = 16 [(.google.api.field_behavior) = OPTIONAL];
        Specified by:
        getEnableDashboardAccess in interface CustomJobSpecOrBuilder
        Returns:
        The enableDashboardAccess.

      • setEnableDashboardAccess

        public CustomJobSpec.Builder setEnableDashboardAccess​(boolean value)
         Optional. Whether you want Vertex AI to enable access to the customized
 dashboard in training chief container.

 If set to `true`, you can access the dashboard at the URIs given
 by
 [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
 or
 [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
 (within
 [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
        bool enable_dashboard_access = 16 [(.google.api.field_behavior) = OPTIONAL];
        Parameters:
        value - The enableDashboardAccess to set.
        Returns:
        This builder for chaining.

      • clearEnableDashboardAccess

        public CustomJobSpec.Builder clearEnableDashboardAccess()
         Optional. Whether you want Vertex AI to enable access to the customized
 dashboard in training chief container.

 If set to `true`, you can access the dashboard at the URIs given
 by
 [CustomJob.web_access_uris][google.cloud.aiplatform.v1beta1.CustomJob.web_access_uris]
 or
 [Trial.web_access_uris][google.cloud.aiplatform.v1beta1.Trial.web_access_uris]
 (within
 [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials]).
        bool enable_dashboard_access = 16 [(.google.api.field_behavior) = OPTIONAL];
        Returns:
        This builder for chaining.

      • getExperiment

        public String getExperiment()
         Optional. The Experiment associated with this job.
 Format:
 `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
        string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Specified by:
        getExperiment in interface CustomJobSpecOrBuilder
        Returns:
        The experiment.

      • getExperimentBytes

        public com.google.protobuf.ByteString getExperimentBytes()
         Optional. The Experiment associated with this job.
 Format:
 `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
        string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Specified by:
        getExperimentBytes in interface CustomJobSpecOrBuilder
        Returns:
        The bytes for experiment.

      • setExperiment

        public CustomJobSpec.Builder setExperiment​(String value)
         Optional. The Experiment associated with this job.
 Format:
 `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
        string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Parameters:
        value - The experiment to set.
        Returns:
        This builder for chaining.

      • clearExperiment

        public CustomJobSpec.Builder clearExperiment()
         Optional. The Experiment associated with this job.
 Format:
 `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
        string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Returns:
        This builder for chaining.

      • setExperimentBytes

        public CustomJobSpec.Builder setExperimentBytes​(com.google.protobuf.ByteString value)
         Optional. The Experiment associated with this job.
 Format:
 `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
        string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Parameters:
        value - The bytes for experiment to set.
        Returns:
        This builder for chaining.

      • getExperimentRun

        public String getExperimentRun()
         Optional. The Experiment Run associated with this job.
 Format:
 `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
        string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Specified by:
        getExperimentRun in interface CustomJobSpecOrBuilder
        Returns:
        The experimentRun.

      • getExperimentRunBytes

        public com.google.protobuf.ByteString getExperimentRunBytes()
         Optional. The Experiment Run associated with this job.
 Format:
 `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
        string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Specified by:
        getExperimentRunBytes in interface CustomJobSpecOrBuilder
        Returns:
        The bytes for experimentRun.

      • setExperimentRun

        public CustomJobSpec.Builder setExperimentRun​(String value)
         Optional. The Experiment Run associated with this job.
 Format:
 `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
        string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Parameters:
        value - The experimentRun to set.
        Returns:
        This builder for chaining.

      • clearExperimentRun

        public CustomJobSpec.Builder clearExperimentRun()
         Optional. The Experiment Run associated with this job.
 Format:
 `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
        string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Returns:
        This builder for chaining.

      • setExperimentRunBytes

        public CustomJobSpec.Builder setExperimentRunBytes​(com.google.protobuf.ByteString value)
         Optional. The Experiment Run associated with this job.
 Format:
 `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
        string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
        Parameters:
        value - The bytes for experimentRun to set.
        Returns:
        This builder for chaining.

      • setUnknownFields

        public final CustomJobSpec.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<CustomJobSpec.Builder>

      • mergeUnknownFields

        public final CustomJobSpec.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<CustomJobSpec.Builder>