datarobot-model-deployment

From README

DataRobot Model Deployment Skill This skill provides comprehensive guidance for deploying models, managing deployment configurations, and operating production deployments. Most common use case: Deploy a trained model to production Get best model: Find the best model from a project (highest metric score) Create deployment: createdeployment(modelid, deploymentname) to deploy model Get endpoint: getdeploymentendpoint(deploymentid) to retrieve prediction URL Example: "Deploy the best model from project abc123 as 'Sales Prediction v1'" When to use this skill Use this skill when you need to: Deploy trained models to production Configure deployment settings and environments Manage multiple deployments Replace a deployment’s champion model with a new model version Configure prediction servers and environments Monitor deployment health and status Manage deployment access and permissions Key capabilities Deployment Creation Deploy models from projects or registered models Choose prediction...