This is a community wiki whose goal is to create a good design for a machine learning / artificial intelligence system (ML / AI structure).
Please make your contribution to the development of a linguistic agnostic structure that would allow combining several ML / AI algorithms into a single structure that:
- runs algorithms with a user-defined data set.
- facilitates training, qualifications and classification.
- allows users to easily connect new algorithms.
- can combine or create an ensemble of existing algorithms.
- can save / load the course of the algorithm (i.e. save the network and the weights of the neural network, save the tree of the decision tree, etc.).
What is a good design for this kind of ML / AI framework?
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