# NEWS for SVEMnet

[1.3.0]
- Added functions glmnet_with_cv() and predict_cv() to act as a wrapper for cv.glmnet().
- Added examples to vignette

[1.2.1]
- Corrected bug in predict() introduced in 1.1.1
- Added svem_significance_test_parallel
- Added svem_significance_test_parallel to vignette

[1.1.1]
- Changed default for `predict()` to `debias=FALSE`.
- Changed default to `objective="wAIC"` for `weight_scheme="SVEM"`.
- Added SVEMnet Vignette

[1.0.3]
- First public release.