在实现java的套索

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