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feat: Adds BigQuery output table field to batch prediction job output config
feat: Adds Feature Store features feat: Adds CustomJob.web_access_uris, CustomJob.enable_web_access fields feat: Adds Endpoint.network, Endpoint.private_endpoints fields and PrivateEndpoints message feat: Adds Execution.State constants: CACHED and CANCELLED feat: Adds IndexEndpoint.private_ip_ranges field feat: Adds IndexEndpointService.deployed_index_id field feat: Adds MetadataService.DeleteArtifact and DeleteExecution methods feat: Adds ModelMonitoringObjectConfig.explanation_config field and ModelMonitoringObjectConfig.ExplanationConfig message feat: Adds ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.attribution_score_skew_thresholds and ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.attribution_score_drift_threshold fields feat: Adds fields to Study message PiperOrigin-RevId: 385903722
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‎google/cloud/aiplatform/v1beta1/BUILD.bazel‎

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@@ -97,6 +97,7 @@ proto_library(
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"//google/api:annotations_proto",
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"//google/api:client_proto",
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"//google/api:field_behavior_proto",
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"//google/api:httpbody_proto",
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"//google/api:resource_proto",
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"//google/longrunning:operations_proto",
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"//google/rpc:status_proto",
@@ -212,6 +213,7 @@ go_proto_library(
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protos = [":aiplatform_proto"],
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deps = [
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"//google/api:annotations_go_proto",
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"//google/api:httpbody_go_proto",
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"//google/longrunning:longrunning_go_proto",
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"//google/rpc:status_go_proto",
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"//google/type:money_go_proto",
@@ -223,9 +225,11 @@ go_gapic_library(
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srcs = [":aiplatform_proto_with_info"],
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grpc_service_config = "aiplatform_grpc_service_config.json",
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importpath = "cloud.google.com/go/aiplatform/apiv1beta1;aiplatform",
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metadata = True,
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service_yaml = "aiplatform_v1beta1.yaml",
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deps = [
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":aiplatform_go_proto",
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"//google/api:httpbody_go_proto",
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"//google/longrunning:longrunning_go_proto",
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"@com_google_cloud_go//longrunning:go_default_library",
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"@com_google_cloud_go//longrunning/autogen:go_default_library",
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name = "gapi-cloud-aiplatform-v1beta1-go",
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deps = [
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":aiplatform_go_gapic",
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":aiplatform_go_gapic_srcjar-metadata.srcjar",
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":aiplatform_go_gapic_srcjar-test.srcjar",
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":aiplatform_go_proto",
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],

‎google/cloud/aiplatform/v1beta1/accelerator_type.proto‎

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@@ -18,10 +18,13 @@ package google.cloud.aiplatform.v1beta1;
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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
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option java_multiple_files = true;
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option java_outer_classname = "AcceleratorTypeProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
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// Represents a hardware accelerator type.
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enum AcceleratorType {

‎google/cloud/aiplatform/v1beta1/annotation.proto‎

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@@ -18,16 +18,18 @@ package google.cloud.aiplatform.v1beta1;
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import "google/api/field_behavior.proto";
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import "google/api/resource.proto";
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import "google/cloud/aiplatform/v1beta1/user_action_reference.proto";
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import "google/protobuf/struct.proto";
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import "google/protobuf/timestamp.proto";
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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
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option java_multiple_files = true;
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option java_outer_classname = "AnnotationProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
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// Used to assign specific AnnotationSpec to a particular area of a DataItem or
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// the whole part of the DataItem.

‎google/cloud/aiplatform/v1beta1/annotation_spec.proto‎

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@@ -21,10 +21,13 @@ import "google/api/resource.proto";
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import "google/protobuf/timestamp.proto";
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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
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option java_multiple_files = true;
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option java_outer_classname = "AnnotationSpecProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
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// Identifies a concept with which DataItems may be annotated with.
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message AnnotationSpec {

‎google/cloud/aiplatform/v1beta1/artifact.proto‎

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import "google/protobuf/timestamp.proto";
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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
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option java_multiple_files = true;
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option java_outer_classname = "ArtifactProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
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// Instance of a general artifact.
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message Artifact {

‎google/cloud/aiplatform/v1beta1/batch_prediction_job.proto‎

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@@ -31,10 +31,13 @@ import "google/protobuf/timestamp.proto";
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import "google/rpc/status.proto";
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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
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option java_multiple_files = true;
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option java_outer_classname = "BatchPredictionJobProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
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// A job that uses a [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce predictions
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// on multiple [input instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
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// `errors_N.<extension>` files are created (N depends on total number
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// of failed predictions). These files contain the failed instances,
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// as per their schema, followed by an additional `error` field which as
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// value has
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// [`google.rpc.Status`](Status)
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// value has [google.rpc.Status][google.rpc.Status]
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// containing only `code` and `message` fields.
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GcsDestination gcs_destination = 2;
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// prediction schemata. The `errors` table contains rows for which the
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// prediction has failed, it has instance columns, as per the
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// instance schema, followed by a single "errors" column, which as values
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// has [`google.rpc.Status`](Status)
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// has [google.rpc.Status][google.rpc.Status]
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// represented as a STRUCT, and containing only `code` and `message`.
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BigQueryDestination bigquery_destination = 3;
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}
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// format, into which the prediction output is written.
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string bigquery_output_dataset = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
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}
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// Output only. The name of the BigQuery table created, in
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// `predictions_<timestamp>`
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// format, into which the prediction output is written.
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// Can be used by UI to generate the BigQuery output path, for example.
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string bigquery_output_table = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
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}
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// Output only. Resource name of the BatchPredictionJob.

‎google/cloud/aiplatform/v1beta1/completion_stats.proto‎

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import "google/rpc/status.proto";
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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
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option java_multiple_files = true;
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option java_outer_classname = "CompletionStatsProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
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// Success and error statistics of processing multiple entities
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// (for example, DataItems or structured data rows) in batch.

‎google/cloud/aiplatform/v1beta1/context.proto‎

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import "google/protobuf/timestamp.proto";
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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
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option java_multiple_files = true;
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option java_outer_classname = "ContextProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
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// Instance of a general context.
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message Context {

‎google/cloud/aiplatform/v1beta1/custom_job.proto‎

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import "google/rpc/status.proto";
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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
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option java_multiple_files = true;
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option java_outer_classname = "CustomJobProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
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// Represents a job that runs custom workloads such as a Docker container or a
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// Python package. A CustomJob can have multiple worker pools and each worker
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// then all resources created by the CustomJob will be encrypted with the
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// provided encryption key.
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EncryptionSpec encryption_spec = 12;
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// Output only. The web access URIs for the training job.
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// The keys are the node names in the training jobs, e.g. workerpool0-0.
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// The values are the URIs for each node's web portal in the job.
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map<string, string> web_access_uris = 16 [(google.api.field_behavior) = OUTPUT_ONLY];
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}
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// Represents the spec of a CustomJob.
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type: "aiplatform.googleapis.com/Tensorboard"
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}
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];
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// Optional. Vertex AI will enable web portal access to the containers. The portals
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// can be accessed on web via the URLs given by [web_access_uris][].
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bool enable_web_access = 10 [(google.api.field_behavior) = OPTIONAL];
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}
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// Represents the spec of a worker pool in a job.

‎google/cloud/aiplatform/v1beta1/data_item.proto‎

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import "google/api/field_behavior.proto";
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import "google/api/resource.proto";
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import "google/protobuf/struct.proto";
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import "google/protobuf/timestamp.proto";
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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
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option java_multiple_files = true;
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option java_outer_classname = "DataItemProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
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// A piece of data in a Dataset. Could be an image, a video, a document or plain
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// text.

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