fix: make context_relevancy available (#229)

fixes: #228

Author: jjmachan

src/ragas/metrics/__init__.py

@@ -5,6 +5,7 @@
     ContextPrecision,
     ContextRelevancy,
     context_precision,
+    context_relevancy,
 )
 from ragas.metrics.context_recall import ContextRecall, context_recall
 from ragas.metrics.critique import AspectCritique
@@ -23,7 +24,7 @@
     "AnswerCorrectness",
     "answer_correctness",
     "ContextRelevancy",
-    "context_precision",
+    "context_relevancy",
     "ContextPrecision",
     "context_precision",
     "AspectCritique",

src/ragas/metrics/context_precision.py

@@ -111,7 +111,7 @@ class ContextRelevancy(MetricWithLLM):
         any encoder model. Used for calculating bert_score.
     """
 
-    name: str = "context_precision"
+    name: str = "context_relevancy"
     evaluation_mode: EvaluationMode = EvaluationMode.qc
     batch_size: int = 15
     strictness: int = 1
@@ -187,7 +187,6 @@ def _score_batch(
 
 @dataclass
 class ContextPrecision(MetricWithLLM):
-
     """
     Average Precision is a metric that evaluates whether all of the
     relevant items selected by the model are ranked higher or not.