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MilesCranmer
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Update todo
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README.md
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@@ -195,13 +195,16 @@ pd.DataFrame, Results dataframe, giving complexity, MSE, and equations
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# TODO
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- [ ] Add ability to save state from python
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- [ ] Add true multi-node processing, with MPI, or just file sharing. Multiple populations per core.
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- [ ] Calculate feature importances based on features we've already seen, then weight those features up in all random generations.
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- [ ] Calculate feature importances of future mutations, by looking at correlation between residual of model, and the features.
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- Store feature importances of future, and periodically update it.
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- [ ] Implement more parts of the original Eureqa algorithms: https://www.creativemachineslab.com/eureqa.html
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- [ ] Add ability to pass an operator as an anonymous function string. E.g., `binary_operators=["g(x, y) = x+y"]`.
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- [ ] Experiment with freezing parts of model; then we only append/delete at end of tree.
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- [ ] Sympy printing
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- [ ] Sympy evaluation
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# TODO
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- [ ] Print out speed of equation evaluation over time. Measure time it takes per
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- [ ] Refresh screen rather than dumping to stdout
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- [ ] Add ability to pass an operator as an anonymous function string. E.g., `binary_operators=["g(x, y) = x+y"]`.
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- [ ] Test suite
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- [ ] Add ability to save state from python
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- [ ] Add true multi-node processing, with MPI, or just file sharing. Multiple populations per core.
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- [ ] Calculate feature importances based on features we've already seen, then weight those features up in all random generations.
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205 |
- [ ] Calculate feature importances of future mutations, by looking at correlation between residual of model, and the features.
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- Store feature importances of future, and periodically update it.
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- [ ] Implement more parts of the original Eureqa algorithms: https://www.creativemachineslab.com/eureqa.html
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- [ ] Experiment with freezing parts of model; then we only append/delete at end of tree.
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- [ ] Sympy printing
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- [ ] Sympy evaluation
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