"model deployment" is a correct and usable phrase in written English.
It is typically used in the context of data science and refers to the process of implementing a predictive model into a production environment so that it can be used to make real-time predictions. Example: After completing the development of their machine learning model, the data science team began working on the model deployment phase, making sure it was integrated seamlessly into their company's website and mobile app.
Containerized model deployment isolates models from each other which prevents a bug or failure in one model from inducing failures in the rest of the system.
To this end, Clipper introduces a modular architecture to simplify model deployment across various ML frameworks, such as Spark's MLlib, TensorFlow, and SciKit-Learn.
This release will add support for deploying Clipper on Kubernetes and continue to simplify model deployment for more common frameworks like R, TensorFlow, and Keras.
Interposed between end-user applications and a wide range of machine learning frameworks, Clipper introduces a modular architecture to simplify model deployment across frameworks.
One case study focuses on occupancy model deployment options in the context of simulation-based predictive building systems control.
The paper then presents findings from an application of the model in a major international engineering corporation, including the results of model deployment at the cell level.
Two EVAR clinical cases were numerically reproduced by simulating stent-graft models deployment inside the tortuous arterial model generated from patient pre-operative scan.
The codebase, all models, deployment guides and customization notes for Acquire are freely available at https://github.com/BCM-DLDCC/Acquire.
The design flow in Gaspard2 follows several steps: system modeling and deployment, model transformations and code generation.
Service delivery models, Service deployment models, and.
The basic building blocks of Cloud computing are illustrated in the following three sub-sections named: Service delivery models, Service deployment models, and Cloud entities.
