Sklearn LocalOutlierFactor contamination parameter Can anyone provide an intuitive explanation of the choice of contamination parameter used in sklearn's LocalOutlierFactor implementation when contamination="auto" ?

The sklearn guide suggests "as described in the paper" but I couldn't find anything obvious. Thanks.
You are specifying with a floating point number what proportion of the data you are fitting on is an outlier. If you use 'Auto' it will default to 0.1. Note that in the current documentation, there is a changed note specifying that it will default to 0.2 in a future version.