Man pages for jolars/sgdnet
Fast Sparse Linear Models for Big Data with SAGA
| abalone | Abalone |
| benchmarks | Benchmark data |
| coef.sgdnet | Extract Model Coefficients for sgdnet Model |
| cv_sgdnet | _k_-fold Cross Validation for *sgdnet* |
| deviance.sgdnet | Deviance for sgdnet Object |
| heart | Heart Disease |
| plot.cv_sgdnet | Plot Results from Cross-Validation |
| plot.sgdnet | Plot Coefficients from an 'sgdnet' Object |
| predict.cv_sgdnet | Make Predcitions Based on Fit From 'cv_sgdnet()' |
| predict.sgdnet | Predictions for sgdnet Models |
| print.cv_sgdnet | Print Method for "cv_sgdnet" objects |
| print.sgdnet | Print a Path Summary for a Fit from sgdnet |
| score | Score the Performance of a Model fit with 'sgdnet()' |
| sgdnet | Fit a Generalized Linear Model with Elastic Net... |
| sgdnet-package | Penalized Generalized Linear Models with Stochastic Gradient... |
| student | Student Performance |
| wine | Wine Cultivars |
