Stats and Anomaly generated at specific timestamp for specific Feature.
The start_time and end_time are used to define the time range of the dataset
that current stats belongs to, e.g. prediction traffic is bucketed into
prediction datasets by time window. If the Dataset is not defined by time
window, start_time = end_time. Timestamp of the stats and anomalies always
refers to end_time. Raw stats and anomalies are stored in stats_uri or
anomaly_uri in the tensorflow defined protos. Field data_stats contains
almost identical information with the raw stats in Vertex AI
defined proto, for UI to display.
Protobuf type google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
Path of the anomaly file for current feature values in Cloud Storage
bucket.
Format: gs://<bucket_name>/<object_name>/anomalies.
Example: gs://monitoring_bucket/feature_name/anomalies.
Stats are stored as binary format with Protobuf message
Anoamlies are stored as binary format with Protobuf message
tensorflow.metadata.v0.AnomalyInfo.
Path of the anomaly file for current feature values in Cloud Storage
bucket.
Format: gs://<bucket_name>/<object_name>/anomalies.
Example: gs://monitoring_bucket/feature_name/anomalies.
Stats are stored as binary format with Protobuf message
Anoamlies are stored as binary format with Protobuf message
tensorflow.metadata.v0.AnomalyInfo.
The end timestamp of window where stats were generated.
For objectives where time window doesn't make sense (e.g. Featurestore
Snapshot Monitoring), end_time indicates the timestamp of the data used to
generate stats (e.g. timestamp we take snapshots for feature values).
The end timestamp of window where stats were generated.
For objectives where time window doesn't make sense (e.g. Featurestore
Snapshot Monitoring), end_time indicates the timestamp of the data used to
generate stats (e.g. timestamp we take snapshots for feature values).
Feature importance score, only populated when cross-feature monitoring is
enabled. For now only used to represent feature attribution score within
range [0, 1] for
ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW
and
ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT.
The start timestamp of window where stats were generated.
For objectives where time window doesn't make sense (e.g. Featurestore
Snapshot Monitoring), start_time is only used to indicate the monitoring
intervals, so it always equals to (end_time - monitoring_interval).
The start timestamp of window where stats were generated.
For objectives where time window doesn't make sense (e.g. Featurestore
Snapshot Monitoring), start_time is only used to indicate the monitoring
intervals, so it always equals to (end_time - monitoring_interval).
Path of the stats file for current feature values in Cloud Storage bucket.
Format: gs://<bucket_name>/<object_name>/stats.
Example: gs://monitoring_bucket/feature_name/stats.
Stats are stored as binary format with Protobuf message
tensorflow.metadata.v0.FeatureNameStatistics.
Path of the stats file for current feature values in Cloud Storage bucket.
Format: gs://<bucket_name>/<object_name>/stats.
Example: gs://monitoring_bucket/feature_name/stats.
Stats are stored as binary format with Protobuf message
tensorflow.metadata.v0.FeatureNameStatistics.
The end timestamp of window where stats were generated.
For objectives where time window doesn't make sense (e.g. Featurestore
Snapshot Monitoring), end_time indicates the timestamp of the data used to
generate stats (e.g. timestamp we take snapshots for feature values).
The start timestamp of window where stats were generated.
For objectives where time window doesn't make sense (e.g. Featurestore
Snapshot Monitoring), start_time is only used to indicate the monitoring
intervals, so it always equals to (end_time - monitoring_interval).
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-27 UTC."],[],[]]
