# GLM package data normalization and regularization
**URL:** https://discourse.julialang.org/t/glm-package-data-normalization-and-regularization/111507
**Category:** Specific Domains
**Tags:** question, package
**Created:** [March 12, 2024, 9:46am UTC](https://discourse.julialang.org/t/glm-package-data-normalization-and-regularization/111507 "2024-03-12T09:46:16Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@Mariana](https://discourse.julialang.org/u/Mariana)
#### Post date: [March 12, 2024, 9:46am UTC](https://discourse.julialang.org/t/glm-package-data-normalization-and-regularization/111507/1 "2024-03-12T09:46:16Z")
Hello!
I’m starting to use the GLM.jl package for logistic regression.
Does the package adopt any kind of regularization or data normalization by default? I couldn’t find anything related to this in the package documentation.
Thank you!
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### Author:  [@ianfiske](https://discourse.julialang.org/u/ianfiske)
#### Post date: [March 12, 2024, 6:18pm UTC](https://discourse.julialang.org/t/glm-package-data-normalization-and-regularization/111507/2 "2024-03-12T18:18:37Z")
GLM implements conventional generalized linear models, analagous to the R package of the same name. This does not include normalization or regularization.
- Regularization: Check out GLMNet.jl for regularization on GLMs.
- Normalization: Look into StatsBase.jl ([Data Transformations · StatsBase.jl](https://juliastats.org/StatsBase.jl/stable/transformations/))
Alternatively, MLJ.jl can provide data normalization (e.g., [Standardizer · MLJ](https://alan-turing-institute.github.io/MLJ.jl/dev/models/Standardizer_MLJModels/)) and penalized GLMs ([GitHub - JuliaAI/MLJLinearModels.jl: Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)](https://github.com/JuliaAI/MLJLinearModels.jl)).