Package version
Can only be one of yearly, monthly, weekly, daily, hourly, minutely or secondly. Granularity is used for verify whether input series is valid. Can only be one of yearly, monthly, weekly, daily, hourly, minutely or secondly. Granularity is used for verify whether input series is valid.
Optional argument, periodic value of a time series. If the value is null or does not present, the API will determine the period automatically. Optional argument, periodic value of a time series. If the value is null or does not present, the API will determine the period automatically.
Time series data points. Points should be sorted by timestamp in ascending order to match the change point detection result. Time series data points. Points should be sorted by timestamp in ascending order to match the change point detection result.
Optional argument, advanced model parameter, a default stableTrendWindow will be used in detection. Optional argument, advanced model parameter, a default stableTrendWindow will be used in detection.
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. 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.
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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}. 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}.