# MLOps preview features
URL: https://docs.datarobot.com/en/docs/classic-ui/mlops/mlops-preview/index.html

> Read preliminary documentation for MLOps features currently in the DataRobot preview pipeline.

# MLOps preview features

This section provides preliminary documentation for features currently in preview pipeline. If not enabled for your organization, the feature is not visible.

Although these features have been tested within the engineering and quality environments, they should not be used in production at this time. Note that preview functionality is subject to change and that any Support SLA agreements are not applicable.

> [!NOTE] Availability information
> Contact your DataRobot representative or administrator for information on enabling or disabling preview features.

## Available MLOps preview documentation

**SaaS:**
Feature
Description
Service health and accuracy history
Service Health and accuracy history allows you to compare the current model and up to five previous models in one place and on the same scale.
Automated deployment and replacement of Scoring Code in Snowflake
Create a DataRobot-managed Snowflake prediction environment to deploy and replace DataRobot Scoring Code in Snowflake.
Run the monitoring agent in DataRobot
Run the monitoring agent within the DataRobot platform, one instance per prediction environment.
MLOps reporting for unstructured models
Report MLOps statistics from custom inference models created with an unstructured regression, binary, or multiclass target type.

**Self-Managed:**
Feature
Description
Service health and accuracy history
Service Health and accuracy history allows you to compare the current model and up to five previous models in one place and on the same scale.
Automated deployment and replacement of Scoring Code in Snowflake
Create a DataRobot-managed Snowflake prediction environment to deploy and replace DataRobot Scoring Code in Snowflake.
Run the monitoring agent in DataRobot
Run the monitoring agent within the DataRobot platform, one instance per prediction environment.
MLOps reporting for unstructured models
Report MLOps statistics from custom inference models created with an unstructured regression, binary, or multiclass target type.

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