Update

structural_similarity_index_measure.py

@@ -41,14 +41,9 @@ Returns:
 Examples:
     Example 1-A simple example
         >>> accuracy_metric = evaluate.load("accuracy")
-        >>> results = accuracy_metric.compute(references=[0, 1, 2, 0, 1, 2], predictions=[0, 1, 1, 2, 1, 0])
+        >>> results = accuracy_metric.compute(references=[[0, 0], [-1, -1]], predictions=[[0, 1], [0, 0]])
         >>> print(results)
-        {'accuracy': 0.5}
-    Example 2-The same as Example 1, except with `sample_weight` set.
-        >>> accuracy_metric = evaluate.load("accuracy")
-        >>> results = accuracy_metric.compute(references=[0, 1, 2, 0, 1, 2], predictions=[0, 1, 1, 2, 1, 0], sample_weight=[0.5, 2, 0.7, 0.5, 9, 0.4])
-        >>> print(results)
-        {'accuracy': 0.8778625954198473}
+        0.5
 """
 
 

tests.py

@@ -1,7 +1,7 @@
 test_cases = [
     {
-        "predictions": [[0.1, 0.1], [1.1, 0.1]],
-        "references": [[0.1, 0.1], [1.1, 0.1]],
+        "predictions": [[0.1, 0.1], [1, 0.1]],
+        "references": [[0.1, 0.1], [0.9, 0.1]],
         "result": 1.0
     },
     {