Aug 30, 2020 · In sklearn.linear_model.LogisticRegression, there is a parameter C according to docs Cfloat, default=1.0 Inverse of regularization strength; must be a positive float. Like in …

May 17, 2018 · In sklearn, for logistic regression, you can define the penalty, the regularization rate and other variables. Is there a way to set the learning rate?

Mar 15, 2018 · I want to know feature names that a LogisticRegression() Model has used along with their corresponding weights in scikit-learn. I can access to weights using coef_, but i did …

Jul 16, 2020 · I have a multi-class classification logistic regression model. Using a very basic sklearn pipeline I am taking in cleansed text descriptions of an object and classifying said …

Apr 21, 2021 · The problem is that my home-grown classifier/trainer is naturally much slower to train than the sklearn version, and I’d like to build on mature optimized packages instead. So …

Nov 29, 2016 · 32 I am building a multinomial logistic regression with sklearn (LogisticRegression). But after it finishes, how can I get a p-value and confident interval of my …

Mar 21, 2016 · Start asking to get answers logistic-regression scikit-learn See similar questions with these tags.

Answers to all of them suggests using f_regression. But f_regression does not do stepwise regression but only give F-score and pvalues corresponding to each of the regressors, which …

Nov 24, 2022 · What is the difference between sklearn's LogisticRegression classifier and its SGDClassifier? I understand that the SGD is an optimization method, while Logistic …

Apr 27, 2017 · 11 Sklearn DOES have a forward selection algorithm, although it isn't called that in scikit-learn. The feature selection method called F_regression in scikit-learn will sequentially …