I'm trying to Lasso Regression after having optimal value of Lambda and now the problem is , I want to get the coefficients (weight vector) since I want to compare them with weights of Ridge regression. lasso = Lasso(alpha=optimal_lmbda, fit_intercept=True, random_state=1142, max_iter=5000) lasso.fit(X_train, y_train) y_pred_lasso = lasso.predict(X_test) How to get coefficients(weight vectors) after fitting in Lasso Regression in python in Sklearn? Continue reading...
