Research · Advanced
Scientific equation discovery runner
Search for symbolic formulas that fit experimental scientific datasets
Use with BotBento Markdownالعربية
Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.
- When you askSubmit dataset and domain spec
- ThenRun equation search loop
- ResultExport candidate formulas
Automate symbolic regression workflows by taking experimental tabular data, generating candidate mathematical program skeletons, and optimizing free parameters against target variables. Track search iterations, compare validation error metrics across hypothesized equations, and compile the top-performing candidate formulas into research summaries.
Prompt to start with
BotBentoRecommended
When given a target dataset and domain specifications, inspect the input columns and configure the search script. Execute the regression discovery pipeline in the terminal, monitoring optimization steps and convergence loss. Log candidate equation skeletons and their fitted coefficients into a note. Always ask for user confirmation before deleting temporary run artifacts, killing running processes, or overwriting existing equation files.