Update Space (evaluate main: c447fc8e)

recall.py

@@ -13,9 +13,6 @@
 # limitations under the License.
 """Recall metric."""
 
-from dataclasses import dataclass
-from typing import List, Optional, Union
-
 import datasets
 from sklearn.metrics import recall_score
 
@@ -95,30 +92,13 @@ _CITATION = """
 """
 
 
-@dataclass
-class RecallConfig(evaluate.info.Config):
-
-    name: str = "default"
-
-    pos_label: Union[str, int] = 1
-    average: str = "binary"
-    labels: Optional[List[str]] = None
-    sample_weight: Optional[List[float]] = None
-    zero_division: str = "warn"
-
-
 @evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
 class Recall(evaluate.Metric):
-
-    CONFIG_CLASS = RecallConfig
-    ALLOWED_CONFIG_NAMES = ["default", "multilabel"]
-
-    def _info(self, config):
+    def _info(self):
         return evaluate.MetricInfo(
             description=_DESCRIPTION,
             citation=_CITATION,
             inputs_description=_KWARGS_DESCRIPTION,
-            config=config,
             features=datasets.Features(
                 {
                     "predictions": datasets.Sequence(datasets.Value("int32")),
@@ -137,14 +117,19 @@ class Recall(evaluate.Metric):
         self,
         predictions,
         references,
+        labels=None,
+        pos_label=1,
+        average="binary",
+        sample_weight=None,
+        zero_division="warn",
     ):
         score = recall_score(
             references,
             predictions,
-            labels=self.config.labels,
-            pos_label=self.config.pos_label,
-            average=self.config.average,
-            sample_weight=self.config.sample_weight,
-            zero_division=self.config.zero_division,
+            labels=labels,
+            pos_label=pos_label,
+            average=average,
+            sample_weight=sample_weight,
+            zero_division=zero_division,
         )
         return {"recall": float(score) if score.size == 1 else score}

requirements.txt

@@ -1,2 +1,2 @@
-git+https://github.com/huggingface/evaluate@e4a2724377909fe2aeb4357e3971e5a569673b39
+git+https://github.com/huggingface/evaluate@c447fc8eda9c62af501bfdc6988919571050d950
 sklearn