Page Comparison

Creating Production-Ready Models

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.

Register a Model

This section describes how to register a model within ModelOp Center using the ModelOp Jupyter plugin or the ModelOp CLI.

Update an Existing Model

This article describes how to update an existing model using Jupyter or the ModelOp Command Center.

Model Lifecycle Manager: Automation Model Life Cycle Management: Overview

This article describes the ModelOp Life Cycle (MLC) Manager and the MLC Process, and how they are used to drive automation and repeatability for a robust ModelOps program.Deploy a Model into a ModelOp Runtime

Operationalizing Models: Overview

This section provides an overview of how to operationalize models within ModelOp Center.

Operationalize a Model - REST

This article describes the steps to operationalize models as REST (online).

Operationalize a Model - Batch

This article describes the steps to operationalize models as Batch in various model runtimes.

Champion/Challenger Model Comparison

This article describes how to prepare the ModelOp Runtime and the MLC Process to deploy a modelconduct a champion/challenger comparison in ModelOp Center.