Submissions are evaluated on
[SMAPE](https://en.wikipedia.org/wiki/Symmetric_mean_absolute_percentage_error)
between forecasts and actual values. We define SMAPE = 0 when the actual and predicted values are both 0.
For each patient visit where a protein/peptide sample was taken you will need to estimate both their UPDRS scores for that visit and predict their scores for any potential visits 6, 12, and 24 months later. Predictions for any visits that didn't ultimately take place are ignored.

You must submit to this competition using the provided python time-series API, which ensures that models do not peek forward in time. To use the API, follow this template in Kaggle Notebooks:


```
import amp_pd_peptide
env = amp_pd_peptide.make_env()   # initialize the environment
iter_test = env.iter_test()    # an iterator which loops over the test files
for (test, test_peptides, test_proteins, sample_submission) in iter_test:
    sample_prediction_df['rating'] = np.arange(len(sample_prediction))  # make your predictions here
    env.predict(sample_prediction_df)   # register your predictions
```