adds TaylorGP for competition

[lacava]

cc @KGAE-CUP

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(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.
    • [] 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.

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

  • [x] 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!

[lacava]

@KGAE-CUP please provide an install.sh with something simple like

cd taylorGP
python setup.py install

Otherwise python setup.py install won't be triggered anywhere. Hopefully will work after that.

[KGAE-CUP]

@KGAE-CUP please provide an install.sh with something simple like

cd taylorGP
python setup.py install

Otherwise python setup.py install won't be triggered anywhere. Hopefully will work after that.

@lacava Thank you for your valuable comments! I saw that there are many ways to submit code in competition requirements. To replace the "install. sh" method, I chose environmen.yml to install the virtual environment locally through "conda env create - f environment. yml". Do you have any suggestions on this? Thank you for your letter.

[lacava]

@lacava Thank you for your valuable comments! I saw that there are many ways to submit code in competition requirements. To replace the "install. sh" method, I chose environmen.yml to install the virtual environment locally through "conda env create - f environment. yml". Do you have any suggestions on this? Thank you for your letter.

Unless taylorGP is a conda package, you will need to both 1) create the env via environment.yml and 2) call 'python setup.py install' in the package directory. the install.sh file would accomplish 2).

this is what i understand from the .travis.yml file in your submission - i left a comment on the relevant line. you should confirm this is how to install the package.

[KGAE-CUP]

@lacava Hello lcava, I found that the "install. sh" in the "experiment/methods/TaylorGP" folder is empty, which is not the same as the install. sh in the "submission/TaylorGP" folder, will this cause my algorithm fail to test datasets?

[lacava]

hi @KGAE-CUP no, you should be all set. I will let you know if I run into any issues.