A software team is building a tool to generate realistic syn…
A software team is building a tool to generate realistic synthetic engine temperature logs to test alert software.The developer writes a neural network function that takes a fixed array of random numbers and applies a series of math formulas to transform them directly into a realistic temperature log. The code calculates no probabilities—it simply maps input numbers to output signal values.When reviewing the pull request, a code reviewer claims this function cannot be a “generative model” because it relies entirely on deterministic math rather than probability functions.Question: Is the code reviewer’s claim correct?
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