Comments (3)
I also got this when trying to get the overall metric: 'RagasContextualRelevancyMetric' object has no attribute 'metrics'
With this code:
def ragasonly(query,output,expected_output,context):
ragas_metric = RagasMetric()
test_case = LLMTestCase(
input=query,
actual_output=output,
expected_output=expected_output,
context=context,
)
score = ragas_metric.measure(test_case)
return score
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Hey Lewis, can you try updating to the newest version of deepeval and show me the trace stack if the error still persists? Thanks! Also easier if you ask it on our discord: https://discord.com/invite/a3K9c8GRGt
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Replied in discord, closing the issue :)
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Related Issues (20)
- Score is not cached
- Knowledge Retention metric discrepancy HOT 3
- No test cases found error HOT 4
- Is context recall and context precision returns categorical output? HOT 1
- Cant use HuggingFace Model for evaluation HOT 5
- Unable to disable telemetry HOT 2
- Crash with ContextualRelevancyVerdict HOT 3
- 'Did not find openai_api_key' When using azure openai HOT 4
- .generate_raw_response(prompt) gives an attribute error HOT 6
- Corrupted cache can make it impossible to run deepeval
- Remove unconditional, uncontrollable output statements
- deepeval should return non-zero exitCode on failure HOT 1
- Dramatically simpler and more reliable cache
- Synthesizer generates goldens but a dataset loads as test cases
- Synthesizer only takes one document in list of documents for some edge cases
- RagasMetric breaks when used with dataset HOT 1
- Suggestion for Future Improvement: Enable Function Calling for Consistent JSON Output
- No response after processing few prompts.
- ProxySchemeUnknown: Proxy URL had no scheme, should start with http:// or https://
- `check_for_update` should not happen on package load HOT 1
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