I am running logistic regression sklearn.linear_model.LogisticRegression. Say I have 3 features in my model A, B and C. I want to fix the coefficient of A but want sklearn to estimate the coefficient of B and C to minimize the logloss. I know I can do this in R pretty easily using offset(), but not sure how to do this in sklearn?
Context: I am doing a causal analysis where I have estimated the coefficient of A using a separate instrumental variable approach. Now I want to also estimate coefficient and B and C for predictive purpose.
question from:https://stackoverflow.com/questions/65648859/how-to-fix-some-coefficient-in-sklearn-linear-model-logisticregression
