Deploy | Overview |
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This article explains how to create the Standard Model Definition to deploy, monitor, and govern a model. It is targeted to enable data scientists to prepare models for deployment and operationalization. | |
This section describes how to register a model within ModelOp Center using the ModelOp Jupyter plugin or the ModelOp CLI. | |
This article describes how to update an existing model using Jupyter or the ModelOp Command Center. | |
This article describes the ModelOp Life Cycle (MLC) Engine Manager and the MLC Process, and how they are used to drive automation and repeatability for a robust ModelOps program. | |
This article describes how to prepare the ModelOp Runtime and the MLC Process to deploy a model. |
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