Sklearn has several functions for feature selection that lets the user determine the size of the chosen subset. An example of this is SelectKBest where the user determines the value of "k", which is the number of top performing features.
Does anyone know what stopping criterion SelectFromModel uses when it selects a feature subset? The documentation mentiones a "threshold"-parameter that determines which features are important enough, and that this parameter is set to "median" OR "mean" by default.