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feat: add IAM policy to aiplatform_v1beta1.yaml (#308)
* fix: fixes for dynamic routing and streaming descriptors Use gapic-generator-typescript v2.14.5. PiperOrigin-RevId: 450616838 Source-Link: googleapis/googleapis@7a47b72 Source-Link: https://github.com/googleapis/googleapis-gen/commit/42cc6331bae0b99f61b8e01ae15b05211716c4f9 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNDJjYzYzMzFiYWUwYjk5ZjYxYjhlMDFhZTE1YjA1MjExNzE2YzRmOSJ9 * 🦉 Updates from OwlBot post-processor See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md * feat: add latent_space_source to ExplanationMetadata in aiplatform v1 explanation_metadata.proto feat: add scaling to OnlineServingConfig in aiplatform v1 featurestore.proto feat: add template_metadata to PipelineJob in aiplatform v1 pipeline_job.proto PiperOrigin-RevId: 450687287 Source-Link: googleapis/googleapis@058bff3 Source-Link: https://github.com/googleapis/googleapis-gen/commit/f072bfe7704d996c41d74ac3aa1d8514f464c4ff Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiZjA3MmJmZTc3MDRkOTk2YzQxZDc0YWMzYWExZDg1MTRmNDY0YzRmZiJ9 * 🦉 Updates from OwlBot post-processor See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md * feat: add failure_policy to PipelineJob in aiplatform v1 & v1beta1 pipeline_job.proto PiperOrigin-RevId: 450704795 Source-Link: googleapis/googleapis@c875f2b Source-Link: https://github.com/googleapis/googleapis-gen/commit/e606d62ab32b85434697678b3004f2206d5c02ae Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiZTYwNmQ2MmFiMzJiODU0MzQ2OTc2NzhiMzAwNGYyMjA2ZDVjMDJhZSJ9 * 🦉 Updates from OwlBot post-processor See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md * feat: add IAM policy to aiplatform_v1beta1.yaml feat: add preset configuration for example-based explanations in aiplatform v1beta1 explanation.proto feat: add latent_space_source to ExplanationMetadata in aiplatform v1beta1 explanation_metadata.proto feat: add successful_forecast_point_count to CompletionStats in completion_stats.proto PiperOrigin-RevId: 450727462 Source-Link: googleapis/googleapis@665682d Source-Link: https://github.com/googleapis/googleapis-gen/commit/34cddbef39c17c58f96f5ffebf6065136b6d5719 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiMzRjZGRiZWYzOWMxN2M1OGY5NmY1ZmZlYmY2MDY1MTM2YjZkNTcxOSJ9 * 🦉 Updates from OwlBot post-processor See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
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Lines changed: 1330 additions & 170 deletions

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‎protos/google/cloud/aiplatform/v1/endpoint.proto‎

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@@ -154,8 +154,8 @@ message DeployedModel {
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// This value should be 1-10 characters, and valid characters are /[0-9]/.
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string id = 1 [(google.api.field_behavior) = IMMUTABLE];
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// Required. The name of the Model that this is the deployment of. Note that the Model
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// may be in a different location than the DeployedModel's Endpoint.
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// Required. The resource name of the Model that this is the deployment of. Note that
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// the Model may be in a different location than the DeployedModel's Endpoint.
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string model = 2 [
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(google.api.field_behavior) = REQUIRED,
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(google.api.resource_reference) = {

‎protos/google/cloud/aiplatform/v1/explanation_metadata.proto‎

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@@ -392,4 +392,7 @@ message ExplanationMetadata {
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// than the one given on input. The output URI will point to a location where
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// the user only has a read access.
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string feature_attributions_schema_uri = 3;
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// Name of the source to generate embeddings for example based explanations.
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string latent_space_source = 5;
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}

‎protos/google/cloud/aiplatform/v1/featurestore.proto‎

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@@ -41,11 +41,29 @@ message Featurestore {
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// OnlineServingConfig specifies the details for provisioning online serving
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// resources.
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message OnlineServingConfig {
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// Online serving scaling configuration. If min_node_count and
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// max_node_count are set to the same value, the cluster will be configured
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// with the fixed number of node (no auto-scaling).
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message Scaling {
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// Required. The minimum number of nodes to scale down to. Must be greater than or
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// equal to 1.
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int32 min_node_count = 1 [(google.api.field_behavior) = REQUIRED];
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// The maximum number of nodes to scale up to. Must be greater than
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// min_node_count, and less than or equal to 10 times of 'min_node_count'.
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int32 max_node_count = 2;
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}
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// The number of nodes for the online store. The number of nodes doesn't
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// scale automatically, but you can manually update the number of
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// nodes. If set to 0, the featurestore will not have an
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// online store and cannot be used for online serving.
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int32 fixed_node_count = 2;
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// Online serving scaling configuration.
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// Only one of `fixed_node_count` and `scaling` can be set. Setting one will
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// reset the other.
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Scaling scaling = 4;
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}
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// Possible states a featurestore can have.

‎protos/google/cloud/aiplatform/v1/manual_batch_tuning_parameters.proto‎

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@@ -34,6 +34,6 @@ message ManualBatchTuningParameters {
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// speeds up the batch operation's execution, but too high value will result
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// in a whole batch not fitting in a machine's memory, and the whole
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// operation will fail.
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// The default value is 4.
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// The default value is 64.
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int32 batch_size = 1 [(google.api.field_behavior) = IMMUTABLE];
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}

‎protos/google/cloud/aiplatform/v1/model_monitoring.proto‎

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@@ -55,6 +55,8 @@ message ModelMonitoringObjectiveConfig {
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//
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// "csv"
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// The source file is a CSV file.
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// "jsonl"
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// The source file is a JSONL file.
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string data_format = 2;
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// The target field name the model is to predict.

‎protos/google/cloud/aiplatform/v1/pipeline_failure_policy.proto‎

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// Copyright 2022 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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syntax = "proto3";
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package google.cloud.aiplatform.v1;
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option csharp_namespace = "Google.Cloud.AIPlatform.V1";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
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option java_multiple_files = true;
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option java_outer_classname = "PipelineFailurePolicyProto";
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option java_package = "com.google.cloud.aiplatform.v1";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1";
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option ruby_package = "Google::Cloud::AIPlatform::V1";
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// Represents the failure policy of a pipeline. Currently, the default of a
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// pipeline is that the pipeline will continue to run until no more tasks can be
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// executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW. However, if a
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// pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it will stop scheduling
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// any new tasks when a task has failed. Any scheduled tasks will continue to
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// completion.
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enum PipelineFailurePolicy {
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// Default value, and follows fail slow behavior.
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PIPELINE_FAILURE_POLICY_UNSPECIFIED = 0;
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// Indicates that the pipeline should continue to run until all possible
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// tasks have been scheduled and completed.
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PIPELINE_FAILURE_POLICY_FAIL_SLOW = 1;
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// Indicates that the pipeline should stop scheduling new tasks after a task
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// has failed.
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PIPELINE_FAILURE_POLICY_FAIL_FAST = 2;
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}

‎protos/google/cloud/aiplatform/v1/pipeline_job.proto‎

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@@ -22,6 +22,7 @@ import "google/cloud/aiplatform/v1/artifact.proto";
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import "google/cloud/aiplatform/v1/context.proto";
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import "google/cloud/aiplatform/v1/encryption_spec.proto";
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import "google/cloud/aiplatform/v1/execution.proto";
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import "google/cloud/aiplatform/v1/pipeline_failure_policy.proto";
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import "google/cloud/aiplatform/v1/pipeline_state.proto";
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import "google/cloud/aiplatform/v1/value.proto";
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import "google/protobuf/struct.proto";
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// `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built
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// using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
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map<string, google.protobuf.Value> parameter_values = 3;
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// Represents the failure policy of a pipeline. Currently, the default of a
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// pipeline is that the pipeline will continue to run until no more tasks
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// can be executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW.
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// However, if a pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it
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// will stop scheduling any new tasks when a task has failed. Any scheduled
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// tasks will continue to completion.
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PipelineFailurePolicy failure_policy = 4;
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}
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// Output only. The resource name of the PipelineJob.
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string network = 18 [(google.api.resource_reference) = {
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type: "compute.googleapis.com/Network"
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}];
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// A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], if empty, will
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// be downloaded.
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string template_uri = 19;
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// Output only. Pipeline template metadata. Will fill up fields if
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// [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry.
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PipelineTemplateMetadata template_metadata = 20 [(google.api.field_behavior) = OUTPUT_ONLY];
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}
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// Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported
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// template registry. Currently, the only supported registry is Artifact
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// Registry.
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message PipelineTemplateMetadata {
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// The version_name in artifact registry.
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//
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// Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is
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// from supported template registry.
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//
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// Format is "sha256:abcdef123456...".
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string version = 3;
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}
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// The runtime detail of PipelineJob.

‎protos/google/cloud/aiplatform/v1/pipeline_service.proto‎

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// Values must be in RFC 3339 format.
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// * `labels`: Supports key-value equality and key presence.
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// * `template_uri`: Supports `=`, `!=` comparisons, and `:` wildcard.
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// * `template_metadata.version_name`: Supports `=`, `!=` comparisons, and `:`
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// * `template_metadata.version`: Supports `=`, `!=` comparisons, and `:`
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// wildcard.
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//
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// Filter expressions can be combined together using logical operators

‎protos/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto‎

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// Starting this job has no impact on any existing deployments of the Model
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// and their resources.
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// Exactly one of model and unmanaged_container_model must be set.
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//
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// The model resource name may contain version id or version alias to specify
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// the version, if no version is specified, the default version will be used.
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string model = 3 [(google.api.resource_reference) = {
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type: "aiplatform.googleapis.com/Model"
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}];

‎protos/google/cloud/aiplatform/v1beta1/completion_stats.proto‎

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// Set to -1 if the number is unknown (for example, the operation failed
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// before the total entity number could be collected).
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int64 incomplete_count = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
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// Output only. The number of the successful forecast points that are generated by the
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// forecasting model. This is ONLY used by the forecasting batch prediction.
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int64 successful_forecast_point_count = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
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}

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