customizedTraining - Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models
Customized training is a simple technique for transductive learning, when the test covariates are known at the time of training. The method identifies a subset of the training set to serve as the training set for each of a few identified subsets in the training set. This package implements customized training for the glmnet() and cv.glmnet() functions.
Last updated 6 years ago
2.70 score 1 stars 10 scripts 147 downloadsnpmr - Nuclear Penalized Multinomial Regression
Fit multinomial logistic regression with a penalty on the nuclear norm of the estimated regression coefficient matrix, using proximal gradient descent.
Last updated 1 years ago
1.08 score 12 scripts 170 downloads