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Application of ML models in production?
Good afternoon.
General question.
There is a pandas notebook in which a certain model is implemented. How to use this laptop for sale?
What needs to be used, set, etc., so that, for example, the model reads data from the database, processes it and puts it in another database table. (this is an example)
I would be grateful for any information and direction, where and what to read about the use of ML in the industry.
Thank you.
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When will people understand that Notebooks are a means of explaining, presenting, and publishing their analysis, and not a means of developing something serious.
If the performance does not "bake" - then we rewrite the model in the normal form of a Python script. There and to a DB it is possible to address also the interface normal to fasten.
If performance is critical - for example, control systems for fast processes in real time - then either we compile our script (it works, but not very well), or we generally rewrite it in the same C ++.
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