Example to illustrate the use of the print changes only global parameter in Python

Question

Can you please give an example to illustrate the use of the print_changes_only global parameter in Python?

Answer 1

Hi @Vish, First of all, the parameter is called print_changed_only and not print_changes_only.

Setting this parameter to True will change the representation of estimators to only show the parameters that have been set to non-default values.

Have a look at the following example:

print(doc)

from sklearn.linear_model import LogisticRegression
from sklearn import set_config

lr = LogisticRegression(penalty='l1')
print('Default representation:')
print(lr)
# LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
#                    intercept_scaling=1, l1_ratio=None, max_iter=100,
#                    multi_class='warn', n_jobs=None, penalty='l1',
#                    random_state=None, solver='warn', tol=0.0001, verbose=0,
#                    warm_start=False)

set_config(print_changed_only=True)
print('\nWith changed_only option:')
print(lr)
# LogisticRegression(penalty='l1')