[FIXED] Basic randomforest model not printing default values after fitting

Issue

My following model :

from sklearn.ensemble import RandomForestClassifier

forest1 = RandomForestClassifier()

forest1.fit(X_train, y_train)

Is not printing the default values of the hyperparameters after learning anymore. I did run this kind of command before and I was showing something, do you know how to see it?

Solution

This behavior was changed in 0.23. You can restore the old print-everything behavior globally with:

sklearn.set_config(print_changed_only=False)

or temporarily with a context manager:

with sklearn.config_context(print_changed_only=False):
    forest1

or just view the parameters of one estimator with:

forest1.get_params(deep=False)

Answered By - Ben Reiniger