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jeff1evesque / machine-learning

Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs)
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Implement mongodb collection validator #2986

Open jeff1evesque opened 7 years ago

jeff1evesque commented 7 years ago

We need to implement a mongodb collection validator, to ensure any inserted, or updated document, conform to a standard structure. This means, we'll need to define validators for each implemented algorithm.

jeff1evesque commented 7 years ago

Since this application pertains to supervised learning (unsupervised learning, may be integrated in the coming future), during an initial data_new session, we will require users to provide a corresponding validation schema, which will be used on the current dataset, and future data_append sessions.

jeff1evesque commented 7 years ago

We need to add a single form element, for the web-interface, allowing users to upload a json schema, for a given data_new session. This schema will be used to validate the current data_new, and successive data_append sessions, to ensure well formed dataset(s), for corresponding supervised learning.

jeff1evesque commented 7 years ago

When this issue is finalized, we will need to redo the logic per https://github.com/jeff1evesque/machine-learning/issues/2844#issuecomment-301250867, and instead directly query the corresponding json schema, proposed in this issue, in order to obtain the following: