title: How to perform an unregularized logistic regression using scikit-learn?
body: <p>From scikit-learn's <a href="http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html" rel="nofollow noreferrer">documentation</a>, the default penalty is "l2", and C (inverse of regularization strength) is "1". If I keep this setting penalty='l2' and C=1.0, does it mean the training algorithm is an unregularized logistic regression? In contrast, when C is anything other than 1.0, then it's a regularized logistic regression classifier?</p>