Sparse Multi-Task Learning

Documentation for package ‘sMTL’ version 0.1.0

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