| coef.SAG | Model's weights Returns the model's weights for each... |
| coef.SAG_fit | Model's weights Returns the model's weights. |
| covtype.libsvm | covtype.libsvm |
| get_approx_grad.SAG_fit | get approximate gradient Returns the models approximate... |
| get_cost.SAG | Model's cost Returns the model's true cost for each specified... |
| get_cost.SAG_fit | Model's costs Returns the model's true cost. |
| get_grad.SAG | Model's gradients Returns gradients of model for each lambda. |
| get_grad.SAG_fit | Model's gradient Returns the model's true gradient. |
| GlmnetExamples | GlmnetExamples Adapted from GLMNET |
| is.sparse | is.sparse |
| make_c_loss | Make user supplied C loss and gradient |
| mini.covtype.libsvm | mini.covtype.libsvm Random sample of 3000 points from... |
| rcv1_train | rcv1_train |
| sag | Stochastic Average Gradient with warm-starting |
| sag_fit | Stochastic Average Gradient |
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