First, because it is wrong, as it prints the path of the Lasso and not of Least Angle Regression. And second, because it is the same as plot_lasso_lars. |
||
|---|---|---|
| .. | ||
| README.txt | ||
| lasso_and_elasticnet.py | ||
| lasso_dense_vs_sparse_data.py | ||
| lasso_path_with_crossvalidation.py | ||
| plot_ard.py | ||
| plot_bayesian_ridge.py | ||
| plot_lasso_coordinate_descent_path.py | ||
| plot_lasso_lars.py | ||
| plot_lasso_path_crossval.py | ||
| plot_logistic_path.py | ||
| plot_ols.py | ||
| plot_sgd_iris.py | ||
| plot_sgd_loss_functions.py | ||
| plot_sgd_ols.py | ||
| plot_sgd_penalties.py | ||
| plot_sgd_separating_hyperplane.py | ||
| plot_sgd_weighted_classes.py | ||
README.txt
Generalized Linear Models ------------------------- Examples concerning the `scikits.learn.linear_model` package.