L1 and L2 Penalties on Sklearn Logistic Classifier
Yes that's correct. For L1 and L2 regularization (Lasso and Ridge Regression), the regularization term is often called L1 penalty or L2 penalty.
I was looking at the scikit-learn logistic regression documentation, and saw that the penalty can be L1 and L2. I know that lasso and ridge regression are also known as L1 and L2 regularization respectively, so I was wondering if the L1 and L2 penalties refer to the same thing?