Man pages for krisrs1128/gflasso
Perform graph structured multitask regression, according to Chen, et al.
| accgrad | Nesterov's Accelerated Gradient Descent |
| cv_gflasso | k-fold Cross Validation for GFLasso |
| cv_plot_gflasso | Plot Results from Cross Validation |
| get_alpha_opt | Get Optimal Alpha S(C * W' / mu) where S projects into the... |
| get_B_next | Get next value of B in gradient descent |
| get_grad_f | Calculate the gradient for one step |
| get_H | Get H matrix giving Graph Penalization |
| get_Lu | Get automatic step-sizes |
| gflasso | Graph-guided fused Lasso via Smoothed Proximal Gradient... |
| merge_proxgrad_opts | Merge default proximal gradient descent options |
| objective | Get the objective of the current estimates |
| predict_gflasso | GFLasso prediction |
| rmse | Compute the root mean squared error |
| soft_threshold | Standard soft-thresholding operator |
