11/11/2023 0 Comments Seasonality core for ios![]() An anomaly can be communicated in this way: "Based on 120 days of training data, we can say with 95% confidence that this data point represents an unexpected change." Any anomalies detected will appear in orange, outside the confidence band. ![]() Click Apply to begin detecting anomalies.Ĭharts with a single series will display a light blue band ( confidence interval band) and a dashed line representing the expected value beside the solid blue line that is your actual data.To add a forecast, enter the number of months you'd like your forecast to extend in the Forecast Period field. Forecast projects your metrics into the future, whereas anomalies are only detected within your historical data. In cases where sufficient data is not available, seasonalities may not be detected or applied. Agile mode typically uses daily and weekly seasonalities, while Robust mode looks for monthly and yearly seasonalities. The duration will depend on the amount of data used to train the model. NOTE: Amplitude will automatically detect seasonality in each mode. Higher significance levels tend to results in fewer anomalies appearing on the chart. Custom allows you to change both the confidence interval and the training duration to fit your specific requirements. Robust mode is best for stable metrics, as it incorporates a full year of additional training data, and can therefore better account for seasonality. Agile mode adjusts more quickly to recent trends, using a 95% confidence interval and 120 days of training data prior to the beginning of the chart's date range. Your options are agile, robust, and custom. Click the drop-down arrow to the right of the Anomaly + Forecast button.The button will turn orange when the feature is engaged. Click Anomaly + Forecast to enable the feature.To set up anomaly detection, follow these steps: If your chart is not supported by the Anomaly + Forecast feature, the button will be grayed out instead. ![]() ![]() You can find the control for this feature on the left hand side, right above the main chart area. It's a procedure for forecasting time series data that's robust to missing data points, shifts in trends, as well as large outliers. The anomaly detection technique used in Anomaly + Forecast is built on the extensively-tested open source tool Prophet. If you're using an hourly interval, Anomaly + Forecast supports a maximum of one group-by. Within Event Segmentation, it works with rolling windows, rolling averages, growth percentage, and custom formulas that support time series analyses.Īnomaly detection does not work on cumulative time series charts, or charts comparing two different time periods. Before you beginĪnomaly detection and forecast can only be applied to time-series data within the following Amplitude charts: Event Segmentation, Conversion over Time (when counting by unique users for the entire funnel), User Sessions, Retention over Time, and Stickiness over Time. This feature is available to users on Growth and Enterprise plans only. Determine whether a change is truly meaningfulįorecast lets you project metrics into the future, so that you can set realistic goals for your team and product.Amplitude's Anomaly + Forecast feature highlights statistically significant deviations from expected values for your metrics, based on historical data. When core metrics fluctuate, it can be hard to know if those movements are meaningful and worthy of investigation, or just random noise. Distinguish meaningful fluctuations in your core metrics from those caused by statistical noise.
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