# \#mljflux

**URL:** https://discourse.julialang.org/tag/mljflux/1853.md

[Latest](https://discourse.julialang.org/latest.md) · [Categories](https://discourse.julialang.org/categories.md) · [Tags](https://discourse.julialang.org/tags.md)

---

## [MLJ/MljFlux standardisation of variables in each cross-validation fold](https://discourse.julialang.org/t/mlj-mljflux-standardisation-of-variables-in-each-cross-validation-fold/136093)

<div class="topic-metadata">

**Author:** [@Pablo\_G-D](https://discourse.julialang.org/u/Pablo_G-D)\
**Replies:** 4\
**Last updated:** [March 10, 2026, 3:54pm UTC](https://discourse.julialang.org/t/mlj-mljflux-standardisation-of-variables-in-each-cross-validation-fold/136093 "2026-03-10T15:54:57Z")

</div>

Hi all, I am learning Julia, and so far I have implemented a few Bayesian models using Turing and other packages. I found it quite fast and reliable. I am now building a neural network model for a land-use/land-cover t…

---

## [Wrapping a Flux FCN model with MLJFlux](https://discourse.julialang.org/t/wrapping-a-flux-fcn-model-with-mljflux/132024)

<div class="topic-metadata">

**Author:** [@cirobr](https://discourse.julialang.org/u/cirobr)\
**Replies:** 0\
**Last updated:** [September 1, 2025, 3:51pm UTC](https://discourse.julialang.org/t/wrapping-a-flux-fcn-model-with-mljflux/132024 "2025-09-01T15:51:49Z")

</div>

Cheers, I wonder if it is possible to wrap a fully convolutional network written in Flux (e.g. a U-Net) with MLJFlux, and benefit from the high-level interface from MLJ. FCN outputs are typically multi-dimensional array…