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Equation discovery

Find the equation in your data.

Upload your data. Get a model you can read.

You don't choose the form of the curve: Diafunc searches for it, across all your input columns at once.

Curve fitting and nonlinear regression tune the constants of a form you picked. Here the form itself is discovered, and the result is a few readable lines, scored on rows the search never saw. The method is called Symbolic Regression.

What you get
  • · A model you can read
  • · Its quality, measured on rows it never saw
  • · A full report in plain language
  • · Your questions, answered
  • · Ready to use: as code, as an API, as a PDF report
The model Diafunc discovered for the resistance of a yacht hull: one readable line, quality 99.5 percent, well ahead of the linear regression baseline.

Discovered model

Quality 99.5 percent, complexity 28.3 percent, error 0.3 percent.

Well ahead of the Linear regression baseline: R² 1.00 vs 0.65, 0.35 higher.

Real output. 308 towing-tank measurements of yacht hulls, six inputs. The model was discovered, not written by hand.

50,000 free credits to start: about five full analyses. No credit card.

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