Uses of Package
com.azure.ai.metricsadvisor.administration.models

Packages that use com.azure.ai.metricsadvisor.administration.models

Package	Description
com.azure.ai.metricsadvisor.administration	Package containing classes for creating a MetricsAdvisorAdministrationAsyncClient and MetricsAdvisorAdministrationClient to perform operations on Azure Metrics Advisor service.
com.azure.ai.metricsadvisor.administration.models	Package containing model types for Metrics Advisor administration operations.
com.azure.ai.metricsadvisor.models	Package containing classes for AzureCognitiveServiceMetricsAdvisorRestAPIOpenAPIV2.

Classes in com.azure.ai.metricsadvisor.administration.models used by com.azure.ai.metricsadvisor.administration

Class	Description
AnomalyAlertConfiguration	Defines anomaly alerting configuration.
AnomalyDetectionConfiguration	Configuration to detect anomalies in metric time series.
DataFeed	The Data feed metadata model.
DataFeedIngestionProgress	The DataFeedIngestionProgress model.
DataFeedIngestionStatus	The DataFeedIngestionStatus model.
DataSourceCredentialEntity	The base credential type for different types of authentication that service uses to access the data sources DataFeedSource.
ListAnomalyAlertConfigsOptions	Additional parameters to set when listing anomaly alerting configurations.
ListCredentialEntityOptions	Additional properties for filtering results on the listCredentialEntities operation.
ListDataFeedIngestionOptions	Describes the additional parameters for the API to list data feed ingestion status.
ListDataFeedOptions	Additional properties for filtering results on the listDataFeeds operation.
ListDetectionConfigsOptions	Additional parameters to set when listing anomaly detection configurations.
ListHookOptions	Describes the additional parameters for the API to list hooks.
NotificationHook	Describes a hook that receives anomaly incident alerts.

Classes in com.azure.ai.metricsadvisor.administration.models used by com.azure.ai.metricsadvisor.administration.models

Class	Description
AnomalyAlertConfiguration	Defines anomaly alerting configuration.
AnomalyDetectionConfiguration	Configuration to detect anomalies in metric time series.
AnomalyDetectorDirection	Defines values for AnomalyDetectorDirection.
AnomalySeverity	Defines values for AnomalySeverity.
AzureBlobDataFeedSource	The AzureBlobDataFeedSource model.
AzureDataExplorerDataFeedSource	The AzureDataExplorerDataFeedSource model.
AzureDataLakeStorageGen2DataFeedSource	The AzureDataLakeStorageGen2DataFeedSource model.
AzureLogAnalyticsDataFeedSource	The AzureLogAnalyticsDataFeedSource model.
BoundaryDirection	Describes the direction of boundary used in anomaly boundary conditions.
BoundaryMeasureType	The measure type that detector should use for measuring data-points when detecting anomalies using MetricBoundaryCondition.
ChangeThresholdCondition	Type that describes change-threshold parameters.
DataFeed	The Data feed metadata model.
DataFeedAccessMode	Defines values for DataFeedAccessMode.
DataFeedAutoRollUpMethod	Defines values for DataFeedAutoRollUpMethod.
DataFeedDimension	Type describing a dimension of a DataFeed.
DataFeedGranularity	The DataFeedGranularity model.
DataFeedGranularityType	The DataFeedGranularityType model
DataFeedIngestionSettings	The data feed ingestion settings model.
DataFeedMetric	Type describing a metric of a DataFeed.
DataFeedMissingDataPointFillSettings	The DataFeedMissingDataPointFillSettings model.
DataFeedMissingDataPointFillType	Defines values for DataFeedMissingDataPointFillType.
DataFeedOptions	The DataFeedOptions model.
DataFeedRollupSettings	The rollup settings for the data feed.
DataFeedRollupType	Defines values for DataFeedRollupType.
DataFeedSchema	The DataFeedSchema model.
DataFeedSource	The DataFeedSource represents the base type for different types of data sources that service can ingest data and perform anomaly detection.
DataFeedSourceType	Defines values for all supported data sources types.
DataFeedStatus	Defines values for DataFeedStatus.
DataSourceAuthenticationType	Defines values for DataSourceAuthenticationType.
DataSourceCredentialEntity	The base credential type for different types of authentication that service uses to access the data sources DataFeedSource.
DataSourceDataLakeGen2SharedKey	The shared key credential entity for DataLakeGen2.
DataSourceServicePrincipal	The service principal credential entity for data source..
DataSourceServicePrincipalInKeyVault	The service principal stored in a key vault representing the credential entity for a data source.
DataSourceSqlServerConnectionString	The connection credential entity for SQLServer.
DetectionConditionOperator	The logical operator to apply across anomaly detection conditions.
EmailNotificationHook	A hook that describes email based incident alerts notification.
HardThresholdCondition	Type that describes hard-threshold parameters.
IngestionStatusType	Defines values for IngestionStatusType.
ListAnomalyAlertConfigsOptions	Additional parameters to set when listing anomaly alerting configurations.
ListCredentialEntityOptions	Additional properties for filtering results on the listCredentialEntities operation.
ListDataFeedFilter	Additional properties to filter result for data feed list operations.
ListDataFeedIngestionOptions	Describes the additional parameters for the API to list data feed ingestion status.
ListDataFeedOptions	Additional properties for filtering results on the listDataFeeds operation.
ListDetectionConfigsOptions	Additional parameters to set when listing anomaly detection configurations.
ListHookOptions	Describes the additional parameters for the API to list hooks.
MetricAlertConfiguration	Defines alerting settings for anomalies detected by a detection configuration.
MetricAlertConfigurationsOperator	The logical operator to apply across multiple MetricAlertConfiguration.
MetricAnomalyAlertConditions	Defines conditions to decide whether the detected anomalies should be included in an alert or not.
MetricAnomalyAlertScope	Defines scope for anomaly alert.
MetricAnomalyAlertScopeType	Defines the supported alert scopes.
MetricAnomalyAlertSnoozeCondition	Type that describes configuration for snoozing anomaly alerts.
MetricBoundaryCondition	Defines the boundary conditions for the anomaly (abnormal data points) to be included in the alert.
MetricSeriesGroupDetectionCondition	Conditions to detect anomalies in a group of time series.
MetricSingleSeriesDetectionCondition	Conditions to detect anomalies in a specific time series.
MetricWholeSeriesDetectionCondition	Conditions to detect anomalies in all time series of a metric.
NotificationHook	Describes a hook that receives anomaly incident alerts.
SeverityCondition	Type that describes severity range.
SmartDetectionCondition	Type that describes smart-detection parameters.
SnoozeScope	Defines values for SnoozeScope.
SqlServerDataFeedSource	The SQLServerDataFeedSource model.
SuppressCondition	Type that describes suppress condition for anomalies.
TopNGroupScope	The type TopNGroupScope represents the parameters that defines TopN anomaly scope.
WebNotificationHook	A hook that describes web-hook based incident alerts notification.

Classes in com.azure.ai.metricsadvisor.administration.models used by com.azure.ai.metricsadvisor.models

Class	Description
AnomalyDetectionConfiguration	Configuration to detect anomalies in metric time series.
AnomalySeverity	Defines values for AnomalySeverity.
DataFeedSource	The DataFeedSource represents the base type for different types of data sources that service can ingest data and perform anomaly detection.