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

# mlflow — AI agent skill for ml inference and ops

> Tracks machine learning experiments and manages model lifecycles with MLflow, covering mlflow.log_param, log_metric and log_artifact, autologging for scik…

# `mlflow`

> Tracks machine learning experiments and manages model lifecycles with MLflow, covering mlflow\.log\_param, log\_metric and log\_artifact, autologging for scikit-learn, PyTorch Lightning, XGBoost and HuggingFace Transformers, the Model Registry with versions and stage transitions, run searching, and local or cloud model serving. Use when logging parameters, metrics and artifacts for training runs, comparing runs across experiments, registering and promoting model versions from Staging to Production, serving a logged model for inference, or reproducing an experiment from an MLflow project. Not for hyperparameter-sweep dashboards or general data versioning; use a dedicated tool for those.

**Category:** [ml-inference-and-ops](/research-agent-skills/skills#ml-inference-and-ops) · **License:** MIT · **Version:** 1.0.0

## Install

```bash theme={null}
npx research-agent-skills install mlflow
npx skills add KalarisLabs/research-agent-skills --skill mlflow
```

## When to use it

Tracks machine learning experiments and manages model lifecycles with MLflow, covering mlflow\.log\_param, log\_metric and log\_artifact, autologging for scikit-learn, PyTorch Lightning, XGBoost and HuggingFace Transformers, the Model Registry with versions and stage transitions, run searching, and local or cloud model serving. Use when logging parameters, metrics and artifacts for training runs, comparing runs across experiments, registering and promoting model versions from Staging to Production, serving a logged model for inference, or reproducing an experiment from an MLflow project. Not for hyperparameter-sweep dashboards or general data versioning; use a dedicated tool for those.

## Full playbook

Read [SKILL.md](https://github.com/KalarisLabs/research-agent-skills/blob/main/skills/mlflow/SKILL.md) for the complete workflow, references and any scripts. The agent installer copies the full skill folder.