Update Space (evaluate main: d3f345bb)

README.md

@@ -53,7 +53,7 @@ This metric outputs a dictionary, containing the mean absolute error score, whic
 - `float`: if multioutput is `uniform_average` or an ndarray of weights, then the weighted average of all output errors is returned.
 - numeric array-like of shape (`n_outputs,`): if multioutput is `raw_values`, then the score is returned for each output separately. 
 
-Each MAE `float` value ranges from `0.0` to `1.0`, with the best value being 0.0.
+Each MAE `float` value ranges from `0.0` to `+inf`, with the best value being 0.0.
 
 Output Example(s):
 ```python

requirements.txt

@@ -1,2 +1,2 @@
-git+https://github.com/huggingface/evaluate@dfd1cc0aea087e0876542ce8a88ab8cfa638a00c
+git+https://github.com/huggingface/evaluate@d3f345bb20086c57feb68ecf53de6cb39cb51b6b
 scikit-learn