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Does anyone know if this technique can be used to slurp up a database and produce "typical" records for populating a test database? This is a problem that I str
by johnwatson11218 11y ago
Does anyone know if this technique can be used to slurp up a database and produce "typical" records for populating a test database? This is a problem that I struggled with a few years ago and still haven't found a good automated solution.
- sova 11y agoCould you refine your question? This is a post about image processing via neural network. Do you mean take an existing database, learn via neural network, and populate a fresh one with "learned" attributes?
- johnwatson11218 11y agoyes that sounds correct. I'm thinking of something where I take an existing db and train a NN on it, then populate a test db with things like "typical account", "typical delinquent account", etc. This db could then be used for automated testing. I have seen approaches like Factory Girl in rails but the new rows are just incrementing fields somehow. Another approach would be to model a column statistically then generate random values that conform to that model. I'm thinking of something that is so general it can find and model relationships in a db. For example it should be able to see that most people have 2 or 3 credit cards on file and generate test data that is like that. This may not be a problem for NN but the idea of running the networks backwards and "imagining" things it has learned seems like a good fit. I have played around with markov chains trained on a first + last name that could generate made up names but that is as far as I got with it.