Hello, I am wondering if it's possible to get the weight coefficients of logistic regression from a pipeline?
For instance, I have the followings: > clf_lr = LogisticRegression(penalty='l1', C=0.1) > pipe_lr = Pipeline([['sc', StandardScaler()], ['clf', clf_lr]]) > pipe_lr.fit(X, y) Does pipe_lr have an attribute that I can call to get the weight coefficient? Or do I have to get it from the classifier as follows? > X_std = StandardScaler().fit_transform(X) > clf_lr = LogisticRegression(penalty='l1', C=0.1) > clf_lr.fit(X_std, y) > clf_lr.coef_ Thank you, Raga
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
