Closed Leoningel closed 2 years ago
hi @Leoningel , looks good. thanks for the resubmission. To make things easier, I can keep this open until the deadline if you want to make changes to your branch. Otherwise everything seems to be in order!
Thanks @lacava. I don't think there will be any changes anymore, but who knows :)
Competition Checklist:
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 inexample/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:est
: a sklearn-compatibleRegressor
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 toevaluate_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:
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!