Man pages for LGhilotti/CLLPackage
This package implements descend gradient and steepest descend methods for estimating linear model coefficients

compute_mseCompute MSE - Mean Squared Error
gradientGradient of the loss function
kfold_cv_lm_seqK-fold cross-validation for lm - sequential version
kfold_cv_parallelK-fold cross-validation - parallel version
kfold_cv_seqK-fold cross-validation - sequential version
linear_gd_optimGradient descend method
linear_sd_optimSteepest descend algorithm
mymapCompute MSE for cross-validation on specified fold
predict_yPredict responses given estimated parameters and new...
LGhilotti/CLLPackage documentation built on April 23, 2022, 3:48 a.m.