资 源 简 介
Summary
The Lasso is a shrinkage and selection method for linear regression. Lasso4j is a Java implementation of the Lasso L1-constrained fitting for linear regression. This implementation is based on the glmnet R package which is implemented in Fortran.
Sample Output
Input data: diabetes.data (source: http://www.stanford.edu/~hastie/Papers/LARS/diabetes.data)
glmnet R package output: glmnet-diabetes-result.txt
lasso4j output: lasso4j-output-for-diabetes.txt
Sample Usage
For using lasso4j, you need to download the jar fi
