Uses of Class
com.azure.ai.anomalydetector.models.UnivariateDetectionOptions
Packages that use UnivariateDetectionOptions
Package
Description
Package containing the classes for AnomalyDetector.
Package containing the data models for AnomalyDetector.
-
Uses of UnivariateDetectionOptions in com.azure.ai.anomalydetector
Methods in com.azure.ai.anomalydetector with parameters of type UnivariateDetectionOptionsModifier and TypeMethodDescriptionAnomalyDetectorAsyncClient.detectUnivariateEntireSeries(UnivariateDetectionOptions options) Detect anomalies for the entire series in batch.AnomalyDetectorClient.detectUnivariateEntireSeries(UnivariateDetectionOptions options) Detect anomalies for the entire series in batch.AnomalyDetectorAsyncClient.detectUnivariateLastPoint(UnivariateDetectionOptions options) Detect anomaly status of the latest point in time series.AnomalyDetectorClient.detectUnivariateLastPoint(UnivariateDetectionOptions options) Detect anomaly status of the latest point in time series. -
Uses of UnivariateDetectionOptions in com.azure.ai.anomalydetector.models
Methods in com.azure.ai.anomalydetector.models that return UnivariateDetectionOptionsModifier and TypeMethodDescriptionUnivariateDetectionOptions.setCustomInterval(Integer customInterval) Set the customInterval property: Custom Interval is used to set non-standard time interval, for example, if the series is 5 minutes, request can be set as {"granularity":"minutely", "customInterval":5}.UnivariateDetectionOptions.setGranularity(TimeGranularity granularity) Set the granularity property: Optional argument, can be one of yearly, monthly, weekly, daily, hourly, minutely, secondly, microsecond or none.UnivariateDetectionOptions.setImputeFixedValue(Double imputeFixedValue) Set the imputeFixedValue property: Used to specify the value to fill, it's used when granularity is not "none" and imputeMode is "fixed".UnivariateDetectionOptions.setImputeMode(ImputeMode imputeMode) Set the imputeMode property: Used to specify how to deal with missing values in the input series, it's used when granularity is not "none".UnivariateDetectionOptions.setMaxAnomalyRatio(Double maxAnomalyRatio) Set the maxAnomalyRatio property: Optional argument, advanced model parameter, max anomaly ratio in a time series.Set the period property: Optional argument, periodic value of a time series.UnivariateDetectionOptions.setSensitivity(Integer sensitivity) Set the sensitivity property: Optional argument, advanced model parameter, between 0-99, the lower the value is, the larger the margin value will be which means less anomalies will be accepted.