Merge pull request #455 from parea-ai/PAI-670-relax-0-to-1-range-of-e…

…val-metrics

feat: only require that eval score is convertible to float

README.md

@@ -36,7 +36,7 @@ The scores associated with the traces will be logged to the Parea [dashboard](ht
 local CSV file if you don't have a Parea API key.
 
 Evaluation functions receive an argument `log` (of type [Log](parea/schemas/models.py)) and should return a
-float between 0 (bad) and 1 (good) inclusive. You don't need to start from scratch, there are pre-defined evaluation
+float. You don't need to start from scratch, there are pre-defined evaluation
 functions for [general purpose](parea/evals/general),
 [chat](parea/evals/chat), [RAG](parea/evals/rag), and [summarization](parea/evals/summary) apps :)
 

parea/schemas/models.py

@@ -84,7 +84,7 @@ class FeedbackRequest:
 @define
 class NamedEvaluationScore:
     name: str
-    score: float = field(validator=[validators.ge(0), validators.le(1)])
+    score: float
 
 
 @define

pyproject.toml

@@ -6,7 +6,7 @@ build-backend = "poetry.core.masonry.api"
 [tool.poetry]
 name = "parea-ai"
 packages = [{ include = "parea" }]
-version = "0.2.68"
+version = "0.2.69"
 description = "Parea python sdk"
 readme = "README.md"
 authors = ["joel-parea-ai <[email protected]>"]