Request interface

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Package:

@azure/cognitiveservices-anomalydetector

An interface representing Request.

Properties

customInterval	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}.
granularity	Possible values include: 'yearly', 'monthly', 'weekly', 'daily', 'hourly', 'minutely', 'secondly'
maxAnomalyRatio	Optional argument, advanced model parameter, max anomaly ratio in a time series.
period	Optional argument, periodic value of a time series. If the value is null or does not present, the API will determine the period automatically.
sensitivity	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.
series	Time series data points. Points should be sorted by timestamp in ascending order to match the anomaly detection result. If the data is not sorted correctly or there is duplicated timestamp, the API will not work. In such case, an error message will be returned.

Property Details

customInterval

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}.

customInterval?: undefined | number

Property Value

undefined | number

granularity

Possible values include: 'yearly', 'monthly', 'weekly', 'daily', 'hourly', 'minutely', 'secondly'

granularity: Granularity

Property Value

Granularity

maxAnomalyRatio

Optional argument, advanced model parameter, max anomaly ratio in a time series.

maxAnomalyRatio?: undefined | number

Property Value

undefined | number

period

Optional argument, periodic value of a time series. If the value is null or does not present, the API will determine the period automatically.

period?: undefined | number

Property Value

undefined | number

sensitivity

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.

sensitivity?: undefined | number

Property Value

undefined | number

series

Time series data points. Points should be sorted by timestamp in ascending order to match the anomaly detection result. If the data is not sorted correctly or there is duplicated timestamp, the API will not work. In such case, an error message will be returned.

series: Point[]

Property Value

Point[]