How to use DEAP to generate the best expression with multiple variables

[q oy]

Hi

I have a set of data with 20 parameters, and I want to use this set of data to fit an optimal expression. I see an example of genetic programming, which has only one parameter X, while I have X1 to X20. I'm new to these, so I don't know much about them. I hope you can point me out. Thank you.

[François-Michel De Rainville]

If you browse the examples on github, you should find genetic programming examples with more input variables.

Cheers

Le lun. 11 juill. 2022, 10 h 00, 'q oy' via deap-users <deap-...@googlegroups.com> a écrit :

Hi

I have a set of data with 20 parameters, and I want to use this set of data to fit an optimal expression. I see an example of genetic programming, which has only one parameter X, while I have X1 to X20. I'm new to these, so I don't know much about them. I hope you can point me out. Thank you.

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[andrew morgan]

Hello

If you are ok to construct a small csv data dictionary for your dataset in an editor or spreadsheet, with these column headings:

Field_No, Symbol, Type, Description

Then I have a python notebook which should automate just about everything for you, and which you can use as a template.

It’s produced for exactly for your use case - and provides a guided tour to generating a symbolic regression for your own dataset.

It uses a deap extension called Geppy to do the symbolic regression - (uses Gene Expression Programming) and accepts any number of columns in your data, as long as they are described in the dictionary.

https://github.com/minkymorgan/geppy/blob/master/examples/sr/v1.0.0_YourSymbolicRegression-Master.ipynb

I’m about to do a pull request to the main Geppy repo, so if you try this out and find errors, please do raise them as issues on my repo, and I’ll sort them out before I do that.

Thanks!

Andrew

minky...@gmail.com

On 11 Jul 2022, at 06:36, 'q oy' via deap-users <deap-...@googlegroups.com> wrote:

Hi

I have a set of data with 20 parameters, and I want to use this set of data to fit an optimal expression. I see an example of genetic programming, which has only one parameter X, while I have X1 to X20. I'm new to these, so I don't know much about them. I hope you can point me out. Thank you.

[q oy]

Thank you very much for your help. I will read your python notebook carefully. I look forward to our continued communication in the future. Thank you again for your help.