Showing 2 of total 2 results (show query)
cy-dev
hqreg:Regularization Paths for Lasso or Elastic-Net Penalized Huber Loss Regression and Quantile Regression
Offers efficient algorithms for fitting regularization paths for lasso or elastic-net penalized regression models with Huber loss, quantile loss or squared loss. Reference: Congrui Yi and Jian Huang (2017) <doi:10.1080/10618600.2016.1256816>.
Maintained by Congrui Yi. Last updated 5 months ago.
elastic-nethigh-dimensionalhuber-loss-regressionlassomachine-learning-algorithmsquantile-regressionregularization-paths
10 stars 6.31 score 57 scripts 4 dependentscy-dev
sparseSVM:Solution Paths of Sparse High-Dimensional Support Vector Machine with Lasso or Elastic-Net Regularization
Offers a fast algorithm for fitting solution paths of sparse SVM models with lasso or elastic-net regularization. Reference: Congrui Yi and Jian Huang (2017) <doi:10.1080/10618600.2016.1256816>.
Maintained by Congrui Yi. Last updated 5 months ago.
elasticnethigh-dimensionallassomachine-learning-algorithmsregularization-pathssvm
6 stars 4.58 score 14 scripts