Conda CI and Metric docstring updates (#5233)

ultralytics/utils/metrics.py

@@ -623,8 +623,19 @@ class Metric(SimpleClass):
 
     def update(self, results):
         """
+        Updates the evaluation metrics of the model with a new set of results.
+
         Args:
-            results (tuple): A tuple of (p, r, ap, f1, ap_class)
+            results (tuple): A tuple containing the following evaluation metrics:
+                - p (list): Precision for each class. Shape: (nc,).
+                - r (list): Recall for each class. Shape: (nc,).
+                - f1 (list): F1 score for each class. Shape: (nc,).
+                - all_ap (list): AP scores for all classes and all IoU thresholds. Shape: (nc, 10).
+                - ap_class_index (list): Index of class for each AP score. Shape: (nc,).
+
+        Side Effects:
+            Updates the class attributes `self.p`, `self.r`, `self.f1`, `self.all_ap`, and `self.ap_class_index` based
+            on the values provided in the `results` tuple.
         """
         self.p, self.r, self.f1, self.all_ap, self.ap_class_index = results