Competition2022

[KGAE-CUP]

Competition Checklist:

• [method TaylorGP for Competition2022] title of this PR is meaningful, i.e. "method X for comp"
• [TaylorGP] A folder has been added to submission/ with a meaningful name corresponding to your method name.

• The added folder includes these elements:

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

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

    • [yes] est: a sklearn-compatible Regressor object.
    • [yes] model(X_Y=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.
    • [no] eval_kwargs (optional): a dictionary that can specify method-specific arguments to evaluate_model.py.

  • [no] LICENSE (optional) A license file

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

  • [no] install.sh (optional): a bash script that installs your method.

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

I have verified that:

• [yes] install scripts do not require sudo permissions.
• [yes] 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!

[lacava]

sorry for the confusion, this PR was not actually merged. For some reason the tests did not trigger correctly, and the 'store as competitor' action fails because I cannot push to the PR ref. I made some simplifying updates to the branch and we're going to have to rerun this.