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model_monitoring_alert.proto
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/
model_monitoring_alert.proto
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// Copyright 2023 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
syntax = "proto3";
package google.cloud.aiplatform.v1beta1;
import "google/protobuf/struct.proto";
import "google/protobuf/timestamp.proto";
option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
option go_package = "cloud.google.com/go/aiplatform/apiv1beta1/aiplatformpb;aiplatformpb";
option java_multiple_files = true;
option java_outer_classname = "ModelMonitoringAlertProto";
option java_package = "com.google.cloud.aiplatform.v1beta1";
option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
// Monitoring alert triggered condition.
message ModelMonitoringAlertCondition {
// Alert triggered condition.
oneof condition {
// A condition that compares a stats value against a threshold. Alert will
// be triggered if value above the threshold.
double threshold = 1;
}
}
// Represents a single model monitoring anomaly.
message ModelMonitoringAnomaly {
// Tabular anomaly details.
message TabularAnomaly {
// Additional anomaly information. e.g. Google Cloud Storage uri.
string anomaly_uri = 1;
// Overview of this anomaly.
string summary = 2;
// Anomaly body.
google.protobuf.Value anomaly = 3;
// The time the anomaly was triggered.
google.protobuf.Timestamp trigger_time = 4;
// The alert condition associated with this anomaly.
ModelMonitoringAlertCondition condition = 5;
}
oneof anomaly {
// Tabular anomaly.
TabularAnomaly tabular_anomaly = 1;
}
// Model monitoring job resource name.
string model_monitoring_job = 2;
// Algorithm used to calculated the metrics, eg: jensen_shannon_divergence,
// l_infinity.
string algorithm = 3;
}
// Represents a single monitoring alert. This is currently used in the
// SearchModelMonitoringAlerts api, thus the alert wrapped in this message
// belongs to the resource asked in the request.
message ModelMonitoringAlert {
// The stats name.
string stats_name = 1;
// One of the supported monitoring objectives:
// `raw-feature-drift`
// `prediction-output-drift`
// `feature-attribution`
string objective_type = 2;
// Alert creation time.
google.protobuf.Timestamp alert_time = 3;
// Anomaly details.
ModelMonitoringAnomaly anomaly = 4;
}