Model Governance: Model Management
This article describes how to use the ModelOp Command Center as the central repository for governing models, including how ModelOp Center provides a standard representation of a model regardless of the model factory from which it came, or the infrastructure upon which it will run.
Table of Contents
Robust Model Management - Standard Model Definition
ModelOp Center provides the most robust and extensible definition of a model to allow for consistent management, monitoring, and governance of all models across the enterprise.
Elements of the Standard Model Definition
The ModelOp Standard Model Definition includes all of the metadata, technical model details, version information, MLC’s, and test results related to a given model. This information is listed in the Business Model Details page within ModelOp Center:
Overview Tab |
See the “Model Governance: Model Versioning” page for more details on model snapshots (versions).
|
Details tab | Provides detailed information, metadata, and entry points for a model:
|
Compliance tab | Allows users to generate a detailed Audit report. To run a report:
Click the “Download” button to create a PDF version of the report:
|
Assets | Lists all of the specific assets associated with the model, which can be source code, trained model artifacts, model configuration files, associated data (training, test, etc.), documents, decision tables, etc.
|
Repository | Provides more information about the backing repository for the assets. Typically this is a git repository (e.g. Github, Bitbucket, etc.), but models can also be stored in other repositories such as Artifactory, SageMaker, or DataIku repositories. For git-based repositories, there is more information about the last sync that occurred with the backing git repository
|
Schemas | Lists the schemas associated with the model. Note that there is only one input and one output schema supported. For more information on creating input and output schemas, see the Model Schemas page. |
For more details on the metadata that is collected and persisted for a Model, see the “Model Governance: Model Metadata” reference document.
Supported Languages & Frameworks
While ModelOp Center supports almost any model language, framework, and overall model factory, below is a sampling of some of the more common ones that are supported in ModelOp Center. Each of these are encoded in ModelOp Center’s standard model definition:
Related Articles
Next Article: Model Governance: Production Model Inventory >