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Update todo

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  1. README.md +4 -1
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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
203
  - [ ] Add true multi-node processing, with MPI, or just file sharing. Multiple populations per core.
204
  - [ ] Calculate feature importances based on features we've already seen, then weight those features up in all random generations.
205
  - [ ] Calculate feature importances of future mutations, by looking at correlation between residual of model, and the features.
206
  - Store feature importances of future, and periodically update it.
207
  - [ ] 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