symbolic regression · webassembly
Give it numbers. Get back an equation.
Not a prediction, not a set of weights — a formula you can read, check against theory and evaluate forever after in nanoseconds. There is no model to download here: equation discovery is pure algorithm, so the whole engine is a WebAssembly module of a few tens of kilobytes. Your data never leaves this tab.
1 · the data
Inputs in the first columns, the value to explain in the last. A header row names the variables.
2 · what it may use
Fewer operators, smaller haystack. Keep it algebraic unless the thing you are modelling really oscillates or decays.
3 · the search, live
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