Update metric_for_tp_fp_samples.py

metric_for_tp_fp_samples.py

@@ -191,7 +191,7 @@ class metric_tp_fp_Datasets(evaluate.Metric):
 		return results
 
 	#Computes the metric for each prediction strategy##############################################
-	def _compute(self, predictions, references, prediction_strategies = ["argmax_max"]):
+	def _compute(self, predictions, references, prediction_strategies = [["argmax_max"],]):
 		"""Returns the scores"""
 		# TODO: Compute the different scores of the metric
 		predictions = torch.from_numpy(np.array(predictions, dtype = 'float32'))