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Update Time-interpolation.qmd
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docs/examples/Time-interpolation.qmd

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@@ -64,7 +64,7 @@ A common metric for model validation is mean absolute error (MAE).
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In the example below we calculate this metric using the model data interpolated to the observed times.
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For a more elaborate model validation library which takes care of these things for you as well as calculating a number of relevant metrics, take a look at [`ModelSkill](https://dhi.github.io/modelskill).
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For a more elaborate model validation library which takes care of these things for you as well as calculating a number of relevant metrics, take a look at [ModelSkill](https://dhi.github.io/modelskill).
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Use `np.nanmean` to skip NaN.
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