# Using MLflow models in DSS[¶](https://doc.dataiku.com/dss/latest/mlops/mlflow-models/using.html#using-mlflow-models-in-dss "Permalink to this headline")

## Scoring[¶](https://doc.dataiku.com/dss/latest/mlops/mlflow-models/using.html#scoring "Permalink to this headline")

Scoring recipe is available for MLflow saved models.

Two modes are available for scoring with an MLflow Saved Model:

Direct output mode where DSS outputs directly what the MLflow model outputs.

Restructure mode where DSS tries to interpret the model output.

## Evaluation[¶](https://doc.dataiku.com/dss/latest/mlops/mlflow-models/using.html#evaluation "Permalink to this headline")

You can evaluate versions of MLflow Saved Models on any valid DSS dataset. Related functionalities are available:

* Performance analysis

* Model Evaluation Store

* Model Comparison
