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ehddnr301 opened this issue Mar 14, 2025 · 1 comment
Closed

Evaluation Part #15

ehddnr301 opened this issue Mar 14, 2025 · 1 comment
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enhancement New feature or request evaluation Assessing the accuracy and efficiency of generated SQL queries.

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@ehddnr301
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Why ❓

현재 상황 및 문제점 👿:

  • 생성되는 쿼리들이 추적되지 않음

How 🤔

해결 방안 ✅:

Image

  • 물어보새 아키텍처에서 Evaluation 부분을 구현

What 🛠️

TODO (구체화되지 않은 상태)

@ehddnr301 ehddnr301 self-assigned this Mar 14, 2025
@ehddnr301 ehddnr301 added this to the Mission: March Complete ✅ milestone Mar 15, 2025
@ehddnr301 ehddnr301 added enhancement New feature or request evaluation Assessing the accuracy and efficiency of generated SQL queries. labels Mar 16, 2025
ehddnr301 added a commit that referenced this issue Mar 16, 2025
- Add MLflow dependency for tracking evaluation metrics
- Implement evaluation command in CLI for SQL generation model
- Create QADataset class for loading and managing evaluation datasets
- Develop Evaluator class to handle SQL evaluation and logging to MLflow
- Add documentation for MLflow setup and evaluation CLI usage
- Introduce example dataset for testing evaluation functionality

#15
@ehddnr301 ehddnr301 removed this from the Mission: March Complete ✅ milestone Mar 25, 2025
@ehddnr301
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우선은 필요하지 않은 기능으로 보입니다.

This was referenced Mar 26, 2025
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enhancement New feature or request evaluation Assessing the accuracy and efficiency of generated SQL queries.
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