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@laurenmoos @oblivia-simplex
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
Brenden K. Petersen, Mikel Landajuela Larma, T. Nathan Mundhe…
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Hi,
I'm quite new to DEAP and was wondering if there's an example of symbolic regression with number of features > 1 like the example given in [gplearn](https://gplearn.readthedocs.io/en/stable/exa…
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*Issue migrated from trac ticket # 3058*
**component:** Problems.DataAnalysis.Symbolic | **priority:** medium
#### 2020-02-18 13:03:50: @foolnotion created the issue
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> There is a big differenc…
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hello, thanks for providing a python implementation of GSGP! If you are interested, it would be great to get a sklearn-compatible interface for GSGP so we can benchmark it easily with other methods as…
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The tutorial https://datadriven.sciml.ai/stable/examples/symbolic_regression/#symbolic_regression_tutorial on 1.7 does not output the equations, it only returns:
```
julia> sys = result(res)
Model…
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Symbolic regressions are generally useful, and I think a few people have gotten confused when it's fully lumped in with SINDy. I think it could be good to have a page and tutorial specifically on symb…
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### Motivation
Regression tests for applications may need to point to data files that are outside the `test/tests` directory, but those files may not be copied over during `make install`, and even if…
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Implement the examples in this paper: https://dl.acm.org/doi/pdf/10.1145/3512290.3528714
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For a number of our problems, we have a rough of a functional form that should be close to the "right answer". Is there a way to feed this in as the initial starting point for the symbolic regression …