First version of Genetic Engine method for competition

[Leoningel]

Competition Checklist:

• [x] title of this PR is meaningful, i.e. "method X for comp"
• [x] A folder has been added to submission/ with a meaningful name corresponding to your method name.

• The added folder includes these elements:

  • [x] metadata.yml (required): A file describing your submission, following the descriptions in example/metadata.yml.

  • [x] regressor.py (required): a Python file that defines your method, named appropriately. See submission/feat-example/regressor.py for complete documentation. It contains:

    • [x] est: a sklearn-compatible Regressor object.
    • [x] model(est, X=None): a function that returns a sympy-compatible string specifying the final model. It can optionally take the training data as an input argument. See guidance below.
    • [ ] eval_kwargs (optional): a dictionary that can specify method-specific arguments to evaluate_model.py.

  • [ ] LICENSE (optional) A license file

  • [x] environment.yml (optional): a conda environment file that specifies dependencies for your submission.

  • [x] install.sh (optional): a bash script that installs your method.

  • [ ] additional files (optional): you may include a folder containing the code for your method in the submission.

I have verified that:

• [x] install scripts do not require sudo permissions.
• [x] if pulled remotely, the source code is a fixed version (i.e., rerunning install.sh shouldn't pulll a different version of the code when run multiple times.)

Refer to the competition guide if you are unsure about any steps. If you don't find an answer, ping us!

[Leoningel]

It seems the docker image needs a username and password. I don't find any information on this in the competition guidelines. Could anyone help me and tell me what to do about this, please?

[lacava]

hi @Leoningel , you should submit your PR to the Competition2022 branch

[Leoningel]

Thank you