Implemented generic computation of anomalies on arbitrary time-scale.

climax/core/dataset.py

@@ -235,11 +235,11 @@ class EoDataset(torch.utils.data.Dataset):
 
     @staticmethod
     def anomalies(ds, timescale='time.dayofyear', standard=False):
-        # group dataset by day of the year
-        LOGGER.info('Computing standardized anomalies ...')
+        # group dataset by time scale
+        LOGGER.info('Computing anomalies ...')
         groups = ds.groupby('time.dayofyear').groups
 
-        # compute standardized anomalies for each day of the year over time
+        # compute anomalies over time
         anomalies = {}
         for time, time_scale in groups.items():
             with warnings.catch_warnings():