ChangePointDetectRequest interface
An interface representing ChangePointDetectRequest.
Properties
custom |
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 | Can only be one of yearly, monthly, weekly, daily, hourly, minutely or secondly. Granularity is used for verify whether input series is valid. Possible values include: 'yearly', 'monthly', 'weekly', 'daily', 'hourly', 'minutely', 'secondly' |
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. |
series | Time series data points. Points should be sorted by timestamp in ascending order to match the change point detection result. |
stable |
Optional argument, advanced model parameter, a default stableTrendWindow will be used in detection. |
threshold | Optional argument, advanced model parameter, between 0.0-1.0, the lower the value is, the larger the trend error will be which means less change point will be accepted. |
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?: number
Property Value
number
granularity
Can only be one of yearly, monthly, weekly, daily, hourly, minutely or secondly. Granularity is used for verify whether input series is valid. Possible values include: 'yearly', 'monthly', 'weekly', 'daily', 'hourly', 'minutely', 'secondly'
granularity: Granularity
Property Value
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?: number
Property Value
number
series
Time series data points. Points should be sorted by timestamp in ascending order to match the change point detection result.
series: Point[]
Property Value
Point[]
stableTrendWindow
Optional argument, advanced model parameter, a default stableTrendWindow will be used in detection.
stableTrendWindow?: number
Property Value
number
threshold
Optional argument, advanced model parameter, between 0.0-1.0, the lower the value is, the larger the trend error will be which means less change point will be accepted.
threshold?: number
Property Value
number
Azure SDK for JavaScript
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