From e22eb496302a706ff7dce0597763e87266547a75 Mon Sep 17 00:00:00 2001 From: Javier Garcia-Bernardo Date: Tue, 12 Mar 2024 10:12:56 +0100 Subject: [PATCH] Update README.md Conda env list lists the environments, not the packages --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 69fccaf..232cb45 100644 --- a/README.md +++ b/README.md @@ -38,7 +38,7 @@ Follow the steps below to prepare your method for submission: 4. Adjust ```clean_df``` to clean (preprocess) the data according to your preferences. 5. Adjust ```predict_outcomes``` to add your prediction method. 6. Make sure that your model (```model.joblib```/```model.rds```) is saved in the same folder as the submission script (```submission.py```/```submission.R```). -7. (optionally) For Python, if you installed a new library or are not using the latest version of the libraries in ```environment.yml```, update that file. Use “conda env list” to view the package versions. +7. (optionally) For Python, if you installed a new library or are not using the latest version of the libraries in ```environment.yml```, update that file. Use “conda env export” to view the package versions installed. 8. Use ```predict``` in the run script (```run.py```/```run.R```) to test your method on the “fake” data in the [data folder](https://github.com/eyra/fertility-prediction-challenge/tree/master/data) **[coming soon]**. If you encounter errors, debug your method until it works. If your method does not run on the “fake” data, it will not run on the holdout data either and your submission will not result in a place on the challenge leaderboard. 9. Submit your method as explained [here](https://github.com/eyra/fertility-prediction-challenge/tree/master#submit-your-method).