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
feat: Adds additional_experiments field to AutoMlForecastingInputs
feat: Adds two new ModelType constants for Video Action Recognition training jobs
PiperOrigin-RevId: 384715948
In particular this applies to Java and Python microgenerators.
With this change `java_gapic_*` and `py_gapic_*` rules mean microgenerator versions. The monolith versions of the rules are named as `java_gapic_*_legacy` and `py_gapic_*_legacy` respectively.
Also change Ads BAZEL template to reflect the change in default rule names.
Also change `DO NOT OVERRIDE` comment warnings meaning (to reflect that now by default microgenerator rules are generated and the generated version must be accepted only if the API is being migrated to the microgenerator).
PiperOrigin-RevId: 346227314
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
Removes uses of external dependency on longrunning/autogen:go_default_library
in favor of the local target //google/lonrunning:longrunning_go_gapic.
PiperOrigin-RevId: 314387187
The nodejs_gapic_library targets were migrated to gapic-generator-typescript
which doesn't use gapic_yaml, rendering that attribute unused. Instead it uses
the proto annotations & grpc_service_config, which this change reflects.
PiperOrigin-RevId: 314206960
This makes googleapis forward compatible with Bazel incompatible change https://github.com/bazelbuild/bazel/issues/8922.
This CL was created by adding @rules_proto to the WORKSPACE file and then running:
find . -name BUILD.bazel | \
while read build; do \
buildifier --lint=fix --warnings=load $build; \
done
Since buildifier cannot be told not to reformat the BUILD file, some files are reformatted.
PiperOrigin-RevId: 280356106
Google APIs