Competition2022---Only update the submission/TaylorGP folder

[KGAE-CUP]

Competition Checklist:

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

• The added folder includes these elements:

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

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

    • [ ] est: a sklearn-compatible Regressor object.
    • [ ] 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

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

  • [ ] 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:

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

@KGAE-CUP check my PR to your fork : https://github.com/KGAE-CUP/srbench/pull/2

need to rebase again to resolve conflicts/ updates to CI

[KGAE-CUP]

@KGAE-CUP check my PR to your fork : KGAE-CUP#2

need to rebase again to resolve conflicts/ updates to CI

@lacava OK, Thank you for your reply! The above test code is in numpy format and there is no variable name, so it reported an error when I added the code of variable name replacement. If I delete the variable name replacement code, will it affect the later real competition?

[janoPig]

@KGAE-CUP I think the mapping should be like this for k, v in reversed(mapping.items()): because x_1 replace x_10 to someName0 and x_11 to someName1

[lacava]

The above test code is in numpy format and there is no variable name, so it reported an error when I added the code of variable name replacement. If I delete the variable name replacement code, will it affect the later real competition?

yes, the function returned needs to use the correct variable names. see @janoPig 's comment. to add detail it should be something like

def model(est, X):
    mapping = {'x_'+str(i):k for i,k in enumerate(X.columns)}
    new_model = est.model_
    for k,v in reversed(mapping.items()):
        new_model = new_model.replace(k,v)