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
feat: add reserved_ip_ranges to CustomJobSpec in aiplatform v1beta1 custom_job.proto
feat: add nfs_mounts to WorkPoolSpec in aiplatform v1beta1 custom_job.proto
feat: add PredictRequestResponseLoggingConfig to aiplatform v1beta1 endpoint.proto
feat: add model_version_id to DeployedModel in aiplatform v1beta1 endpoint.proto
feat: add JOB_STATE_UPDATING to JobState in aiplatform v1beta1 job_state.proto
feat: add MfsMount in aiplatform v1beta1 machine_resources.proto
feat: add version_id to Model in aiplatform v1beta1 model.proto
feat: add LatestMonitoringPipelineMetadata to ModelDeploymentMonitoringJob in aiplatform v1beta1 model_deployment_monitoring_job.proto
feat: add ListModelVersion, DeleteModelVersion, and MergeVersionAliases rpcs to aiplatform v1beta1 model_service.proto
feat: add model_version_id to UploadModelRequest and UploadModelResponse in aiplatform v1beta1 model_service.proto
feat: add model_version_id to PredictResponse in aiplatform v1beta1 prediction_service.proto
feat: add ConvexAutomatedStoppingSpec to StudySpec in aiplatform v1beta1 study.proto
feat: add model_id and parent_model to TrainingPipeline in aiplatform v1beta1 training_pipeline.proto
BREAKING CHANGE: (php) remove several `REQUIRED` field annotations in featurestore.proto, metadata.proto, and pipeline_job.proto
PiperOrigin-RevId: 441615103
feat: add id field to DeployedModel
feat: add service_attachment field to PrivateEndpoints
feat: add endpoint_id to CreateEndpointRequest and method signature to CreateEndpoint
feat: add method signature to CreateFeatureStore, CreateEntityType, CreateFeature
feat: add network and enable_private_service_connect to IndexEndpoint
feat: add service_attachment to IndexPrivateEndpoints
feat: add stratified_split field to training_pipeline InputDataConfig
fix: remove invalid resource annotations in LineageSubgraph
PiperOrigin-RevId: 413686247
feat: add tensorboard service RPCs to aiplatform_v1beta1: BatchCreateTensorboardRuns, BatchCreateTensorboardTimeSeries, WriteTensorboardExperimentData
feat: add model_deployment_monitoring_job to Endpoint in aiplatform_v1beta1
feat: add deployment_group to DeployedIndex in aiplatform_v1beta1
feat: add ModelEvaluationExplanationSpec in aiplatform_v1beta1
Committer: @dizcology
PiperOrigin-RevId: 393890669
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
BREAKING CHANGE: sampled_shapley_attribution moved into a oneof in explanation.proto.
BREAKING CHANGE: field min renamed to min_value in ExplanationMetadata.InputMetadata.FeatureValueDomain in explanation_metadata.proto.
BREAKING CHANGE: field max renamed to max_value in ExplanationMetadata.InputMetadata.FeatureValueDomain in explanation_metadata.proto.
PiperOrigin-RevId: 340440278
Google APIs