mlflow
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MLflow Plugin
Section titled “MLflow Plugin”ML experiment tracking, model registry, and artifact storage. Free: MIT licensed.
Install
Section titled “Install”nself plugin install mlflowWhat It Does
Section titled “What It Does”Runs an MLflow tracking server backed by your Postgres database. Track experiments, compare model runs, log parameters and metrics, and manage the model registry. Integrates with Python ML workflows via the MLflow client.
Configuration
Section titled “Configuration”| Env Var | Default | Description |
|---|---|---|
MLFLOW_PORT | 5000 | MLflow server port |
MLFLOW_ARTIFACT_ROOT | /mlflow/artifacts | Artifact storage path |
| Port | Purpose |
|---|---|
| 5000 | MLflow UI and REST API |
Database Tables
Section titled “Database Tables”0 plugin-managed tables: MLflow manages its own schema in Postgres directly via SQLAlchemy.
Nginx Routes
Section titled “Nginx Routes”| Route | Target |
|---|---|
mlflow.{base_domain} | MLflow UI |
Dependencies
Section titled “Dependencies”Requires Postgres (always running in ɳSelf). Optionally uses MinIO for artifact storage, set MLFLOW_ARTIFACT_ROOT=s3://... and configure MinIO credentials.