Viewing profile — sade_95

Thanks for the advice; you're absolutely right ,it was just to grab attention.

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Thanks for the epicycles clarification, I did not know each body had its own fitted set. This makes the parallel with overfitting even stronger. And I think we agree on the real pr…

This is exactly the niche I had in mind, thank you for the concrete example. Where theory works (small deltas, linear regime) nobody needs my tool. Where turbulence starts, enginee…

You are right, and I concede the point. I chose the operators and the parsimony rule knowing already that laws like Kepler exist. So "Kepler took 10 years" is a bit of theater, the…

Funny you ask, I actually spent a weekend on exactly that. Took the SPARC rotation curve data (~2700 points, 150+ galaxies), built the radial acceleration relation from the raw fil…

Fair point, and nyrikki has it right: the engine never sees units. Everything is normalized to dimensionless magnitudes before the search, so that formula is an empirical fit on pu…

You're right, and I'd go further: the inductive bias isn't incidental, it's the whole product. Short trees over {+, *, sqrt, exp, ...} plus a parsimony penalty is basically Occam's…

Thanks for the formatting tip, noted. Isn't e different for each planet? Yes, each planet got its own e (Mercury 0.206, Venus 0.007, Earth 0.017...). The correlation still comes ou…

Good questions — I ran all three: Semi-minor axis: I added b as a second feature (b = a·sqrt(1−e²), so corr(a,b) = 1.00000 to 5 decimals; Mercury is the only planet where they diff…

What My Project Does GP_ELITE is a symbolic regression engine in pure Python: given (X, y) data, it searches for a readable mathematical formula linking them, instead of a black-bo…

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This is an incredibly refreshing piece of work. The decision to use a content-addressed heap over the Leech lattice Lambda_24 canonicalized under the Conway group Co_0 to achieve O…

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