[Python] Symbolic regression with integer parameters

Discussão em 'Python' iniciado por Stack, Maio 31, 2025.

  1. Stack

    Stack Membro Participativo

    I have a project of a symbolic regression (here on GitHub). I use first curve_fit of scipy to find parameters with linear expressions but for non linear expressions (commented tests in tests/test_sr.py file), it is not efficient. To simplify things, I want to add constraints on parameters like to be integers. I tried DEAP but without success (maybe wrong usage). Is there any way to achieve this goal?

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