An api to both organize and deploy machine learning models in your organization.
ml_deploy will both store your python ml models and it's various attributes, allowing it to be called from anywhere. It includes an easy interface to set up both predictions from batches and eventually streamed results.
Creating a user is as easy the following:
curl --request POST \
--url 'http://localhost:8006/account?username=coolUser&password=testPassword'In ml_deploy, everything is built around projects, where the projects store various associated machine learning models. The following command will establish a project, and add our user to it. A project can have many users.
curl --request POST \
--url 'http://127.0.0.1:8006/project?project_name=awesome_project&users=coolUser'