Azure.AI.MetricsAdvisor.Models Namespace

Classes

AnomalyAlert	The AlertResult.
AnomalyAlertConfiguration	The AnomalyAlertingConfiguration.
AnomalyDetectionConfiguration	The AnomalyDetectionConfiguration.
AnomalyIncident	The IncidentResult.
ChangeThresholdCondition	The ChangeThresholdCondition.
DataFeed	A data feed is the entry point of data for the Metrics Advisor service and, therefore, the first entity to be created when setting up your resource. It periodically ingests data from a DataFeedSource and monitors it in search of anomalies.
DataFeedDimension	The Dimension.
DataFeedGranularity	The frequency with which ingestion from a DataFeedSource will occur.
DataFeedIngestionProgress	The DataFeedIngestionProgress.
DataFeedIngestionSettings	Configures how a DataFeed should ingest data from its DataFeedSource.
DataFeedIngestionStatus	The IngestionStatus.
DataFeedMetric	The Metric.
DataFeedMissingDataPointFillSettings	Configures the behavior of a DataFeed when handling missing points in the data ingested from its DataFeedSource.
DataFeedRollupSettings	Configures the behavior of a DataFeed when handling rolled-up ingested data before detecting anomalies.
DataFeedSchema	Specifies which values, such as metrics and dimensions, will be ingested from the DataFeedSource.
DataPointAnomaly	The AnomalyResult.
DimensionKey	The DimensionGroupIdentity.
EnrichmentStatus	The EnrichmentStatus.
HardThresholdCondition	The HardThresholdCondition.
IncidentRootCause	The RootCause.
MetricAlertConfiguration	The MetricAlertingConfiguration.
MetricAnomalyAlertConditions	Sets extra conditions that an anomaly must satisfy to be included in an alert.
MetricAnomalyAlertScope	Selects the scope of time series in which an anomaly must be to be included in an alert. In order to instantiate an object of this class, one of the following static methods must be used:
MetricAnomalyAlertSnoozeCondition	The AlertSnoozeCondition.
MetricBoundaryCondition	The ValueCondition.
MetricEnrichedSeriesData	The SeriesResult.
MetricsAdvisorModelFactory	A factory that builds Azure.AI.MetricsAdvisor and Azure.AI.MetricsAdvisor.Administration model types used for mocking.
MetricSeriesData	The MetricDataItem.
MetricSeriesDefinition	The MetricSeriesItem.
MetricSeriesGroupDetectionCondition	The DimensionGroupConfiguration.
MetricSingleSeriesDetectionCondition	The SeriesConfiguration.
MetricWholeSeriesDetectionCondition	The WholeMetricConfiguration.
SeverityCondition	The SeverityCondition.
SmartDetectionCondition	The SmartDetectionCondition.
SuppressCondition	The SuppressCondition.
TopNGroupScope	The TopNGroupScope.

Structs

AnomalyDetectorDirection	detection direction.
AnomalyIncidentStatus	incident status only return for alerting incident result
AnomalySeverity	min alert severity.
AnomalyStatus	anomaly status only return for alerting anomaly result
AnomalyValue	The AnomalyValue.
BoundaryDirection	value filter direction.
BoundaryMeasureType	data used to implement value filter.
ChangePointValue	The ChangePointValue.
DataFeedAccessMode	data feed access mode, default is Private.
DataFeedAutoRollupMethod	roll up method.
DataFeedGranularityType	granularity of the time series.
DataFeedMissingDataPointFillType	the type of fill missing point for anomaly detection.
DataFeedRollupType	mark if the data feed need rollup.
DataFeedSourceKind	data source type.
DataFeedStatus	data feed status.
DataSourceCredentialKind	Type of data source credential.
DetectionConditionOperator	condition operator should be specified when combining multiple detection conditions
IngestionStatusType	latest ingestion task status for this data slice.
MetricAlertConfigurationsOperator	cross metrics operator should be specified when setting up multiple metric alerting configurations
MetricAnomalyAlertScopeType	Anomaly scope.
MetricFeedbackKind	feedback type.
MetricPeriodType	the type of setting period.
NotificationHookKind	hook type.
SnoozeScope	snooze scope.