Outlier handling added to our data cleaning capabilities

The newly added Outlier handling option is available for numerical data inputs and presents users with histogram views of their data, allowing them to identify potential outliers, see the number of outliers per feature, as well as manage outliers by setting valid value ranges ( min and max ). Values outside of the set range will be removed from the dataset version.

The feature can easily be found via the Data cleaning tab on the Datasets view. Choose dataset features to manage, select appropriate range and click on the Apply changes button to remove your outliers. Read more about outliers and how you can work with them on the Peltarion platform via this link: