Fits L1 loss regularized linear regression models using the Python sklearn.linear_model.Lasso class for a dependent variable on one or more independent variables, and includes optional modes to ...

Implementing model-based controllers using complex physical models on industrial control units is often challenging and sometimes impossible due to limited hardware resources. However, it is often ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request ...

Variables with non-zero coefficients selected from LASSO were further included in binary logistic regression analysis to assess their independent effects on drooling symptoms in patients undergoing ...

Using these steps, data is explored intuitively, new features like price per square meter are created and further visualization and statistical analysis is conducted. For pattern selection, we use ...