Machine Learning Model Deployment / Productionization / Productionizing Machine Learning Models

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What is Machine Learning Model Deployment?

Machine Learning Model Deployment involves making the model available in production environments, so they can be used to make predictions and provide value for other software systems.

Both H2O-3 and Driverless AI models can be made available in production for other software systems to make predictions [1][2]. One approach to make the model accessible is directly embedding the model into the environment. Another approach to make the model available is indirectly by making remote procedure calls from the client environment to the cloud server where the model is running. 

Resources

Tutorial

  • Scoring Pipeline Deployment Introduction (link coming soon…)

Video


#h2o-3
#driverless-ai
#concepts
#model-deployment
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