Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

feat: add model_monitoring_stats_anomalies,model_monitoring_status to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto #1621

Merged
merged 3 commits into from
Aug 31, 2022
Merged

feat: add model_monitoring_stats_anomalies,model_monitoring_status to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto #1621

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
8edadad
feat: add model_monitoring_stats_anomalies,model_monitoring_status to…
gcf-owl-bot[bot] Aug 30, 2022
943aa5e
🦉 Updates from OwlBot post-processor
gcf-owl-bot[bot] Aug 30, 2022
6bbdda2
Merge branch 'main' into owl-bot-copy
dizcology Aug 31, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 17 additions & 0 deletions google/cloud/aiplatform_v1beta1/types/batch_prediction_job.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -26,6 +26,7 @@
from google.cloud.aiplatform_v1beta1.types import (
manual_batch_tuning_parameters as gca_manual_batch_tuning_parameters,
)
from google.cloud.aiplatform_v1beta1.types import model_deployment_monitoring_job
from google.cloud.aiplatform_v1beta1.types import model_monitoring
from google.cloud.aiplatform_v1beta1.types import (
unmanaged_container_model as gca_unmanaged_container_model,
Expand Down Expand Up @@ -220,6 +221,12 @@ class BatchPredictionJob(proto.Message):
analysis model behaviors, based on the input and
output to the batch prediction job, as well as
the provided training dataset.
model_monitoring_stats_anomalies (Sequence[google.cloud.aiplatform_v1beta1.types.ModelMonitoringStatsAnomalies]):
Get batch prediction job monitoring
statistics.
model_monitoring_status (google.rpc.status_pb2.Status):
Output only. The running status of the model
monitoring pipeline.
"""

class InputConfig(proto.Message):
Expand Down Expand Up @@ -539,6 +546,16 @@ class OutputInfo(proto.Message):
number=26,
message=model_monitoring.ModelMonitoringConfig,
)
model_monitoring_stats_anomalies = proto.RepeatedField(
proto.MESSAGE,
number=31,
message=model_deployment_monitoring_job.ModelMonitoringStatsAnomalies,
)
model_monitoring_status = proto.Field(
proto.MESSAGE,
number=32,
message=status_pb2.Status,
)


__all__ = tuple(sorted(__protobuf__.manifest))
1 change: 1 addition & 0 deletions tests/unit/gapic/aiplatform_v1beta1/test_job_service.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -61,6 +61,7 @@
from google.cloud.aiplatform_v1beta1.types import env_var
from google.cloud.aiplatform_v1beta1.types import explanation
from google.cloud.aiplatform_v1beta1.types import explanation_metadata
from google.cloud.aiplatform_v1beta1.types import feature_monitoring_stats
from google.cloud.aiplatform_v1beta1.types import hyperparameter_tuning_job
from google.cloud.aiplatform_v1beta1.types import (
hyperparameter_tuning_job as gca_hyperparameter_tuning_job,
Expand Down