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Machine learning platform and recommendation engine on Kubernetes
Seldon Server is a machine learning platform and recommendation engine built on Kubernetes. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production. Seldon Core is a progression of the goals of the Seldon-Server project but also a more restricted focus to solving the final step in a machine learning project which is serving models in production. ...
...The application produces a module for Drupal 7.
See https://sourceforge.net/p/drupalcsvfields/code/HEAD/tree/trunk/examples/basictest/ for an usage example.
It worked for me, but use it at your own risk. I have not tested it in depth. Please backup your data before enabling the modules produced by the utility.
...The pattern-based approach will involve a wide community interested in creating market specific solution using modularity and extensibility approach, but with a incredible faster time to production.
Due to its Open source nature, Czero will avoid any risk of dependency on product by vendors and you be free to choose your own decisions, having always at disposal source code and data to manage every transition.