R-universe - saberpowers (Scott Powers)

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.

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2.70 score 1 stars 10 scripts 216 downloads

npmr - 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.

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1.11 score 13 scripts 152 downloads