LassoCV is a class in the Python library scikit-learn (sklearn) which implements linear regression with L1 regularization also known as Lasso regression. LassoCV performs Lasso regression using cross-validation to automatically estimate the optimal regularization parameter (alpha). It is a useful tool for feature selection and can handle sparse datasets efficiently.
Python LassoCV.LassoCV - 30 examples found. These are the top rated real world Python examples of sklearn.linear_model.LassoCV.LassoCV extracted from open source projects. You can rate examples to help us improve the quality of examples.