> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nx1cloud.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Web portal users

> nx1-deployer `v1.13.0` release notes for web portal users, covering new AutoML, Documents, and MLflow features, and a platform component upgrade.

<Note>nx1-deployer image `v1.13.0`</Note>

The May 2026 release for web portal users introduces new features, such as AutoML for training and deploying machine learning models,
MLflow for browsing model registries, and a Superset upgrade.

## New features

New features recently added to the NexusOne platform.

### AutoML

AutoML is a new NexusOne feature that makes building machine learning models much simpler for you.
You can now train and deploy three types of ML models directly from NexusOne:

* [LightGBM](https://lightgbm.readthedocs.io/en/stable/)
* [Vowpal Wabbit](https://vowpalwabbit.org/)
* [Isolation Forest](https://en.wikipedia.org/wiki/Isolation_forest)

Each model also comes with built-in Shapley Additive Explanations, support, so you can always see a clear
explanation of why the model made a particular decision.

#### AutoML feature engineering

You can now clean and shape your data for training using AutoML feature engineering. It prepares your data
into a form the model can learn from.

#### AutoML training

You can now submit and manage machine learning model training jobs using AutoML training.

### Documents

You can now store, search, and enrich documents in NexusOne. Documents are files or records indexed and queryable
across your NexusOne environment. CrewAI can enrich the documents with metadata and push suggestions to DataHub.
Server-Sent Events (SSE) streaming then lets you track that progress in real time.

### JupyterHub

JupyterHub now has two new environment variables, these include:

* `DATAHUB_API_URL`: The the internal cluster address of the DataHub Generalized Metadata Service (GMS) backend.
  The JupyterHub DataHub panel extension uses it to query and write metadata programmatically.
* `DATAHUB_FRONTEND_URL`: The public URL of the DataHub UI. When you click a link in the JupyterHub panel extension,
  it opens the corresponding dataset in the DataHub UI.

### MLflow

MLflow gives you read-only access to the MLflow Model Registry through the NexusOne portal.

#### NexusOne portal

You can now browse and inspect registered machine learning models and their versions directly from the portal.

#### Single Sign-On

The MLflow UI now uses the same Single Sign-On (SSO) login as the rest of the NexusOne platform.

When you visit your MLflow URL, NexusOne redirects you to the Keycloak login page instead of a separate MLflow login screen.
That means, if you are already logged in to NexusOne, you are automatically logged in to MLflow without
having to enter your credentials again.

## Upgrades

Version upgrades to existing apps on the NexusOne platform.

### Superset `v6.1.0` upgrade

Superset now runs `v6.1.0`, upgraded from `v4.1.2`. This version includes new UI features, performance enhancements,
and bug fixes for dashboards and data exploration.