Covariate shift

The covariate shift dashboard enables visualization of drift in all features (multivariate) and in a single feature, using six drift detection tests. If you prefer a video walkthrough, here is our guide explaining how to use the covariate shift page:

Here, you can find detailed descriptions of various elements on the covariate shift page:

The Covariate shift dashboard consists of three main components:

1. Filters

Select which drift methods you want to have results displayed for. Drift methods that are not calculated are not visible under the filter. Selecting which drift measures you want to have calculated can be done under model settings.

Please find more info about statistical and distance measures in the NannyML Open Source documentation.

2. Visualisations

You can change the order of charts based on the metric name, number, or recency of the alerts.

3. Plots

There are three types of plot formats: line, step, and distribution. A line plot smoothly connects points with straight lines to show trends, while a step plot uses sharp vertical and horizontal lines to show exact changes between points clearly. The distribution plot gives you more insights into how feature distribution has changed over time.

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