Man pages for sMTL
Sparse Multi-Task Learning
| cv.smtl | cv.smtl: cross-validation function |
| grid.gen | grid.gen: generate grid for cross-validation function. For... |
| maxEigen | maxEigen: maximum eigenvalue wrapper for Julia TSVD package.... |
| method_nm | methods names: give name for printing. Internal package use... |
| multiTaskRmse | multiTaskRmse: RMSE for multi-task problems (averaged across... |
| multiTaskRmse_MT | multiTaskRmse: calculate average (across tasks) RMSE for... |
| predict | predict: predict on smtl model object |
| reName_cv | reName_cv: rename output from CV. For internal package use... |
| rhoScale | rhoScale: scale lambda_z depending on magnitude. For internal... |
| seReturn | seReturn: find smallest rho within 1 se of smallest cv error.... |
| smtl | smtl: make model-fitting function |
| smtl_setup | smtl_setup: setup Julia path and/or install Julia or Julia... |
| sparseCV | sparseCV: cross-validation functions. For internal package... |
| sparseCV_MT | sparseCV_MT: internal cross-validation functions. For... |
| sparseL0Tn_iht | sparseCV_L0: cross-validation functions. For internal package... |
| tuneZscale | tuneZscale: scale lambda_z depending on magnitude. For... |
