only runs feature selection by default if we have more than 50 columns in the input data. This might break for categorical data with high cardinality, but i think it's a step in the right direction to use all available data if we don't have that much of it
only runs feature selection by default if we have more than 50 columns in the input data. This might break for categorical data with high cardinality, but i think it's a step in the right direction to use all available data if we don't have that much of it

doordash/auto_ml,ClimbsRocks/auto_ml