bee04cad86
<!-- .github/pull_request_template.md --> ## Description - Split metrics dashboard into two modules: calculator (statistics) and generator (visualization) - Added aggregate metrics as a new phase in evaluation pipeline - Created modal example to run multiple evaluations in parallel and collect results into a single combined output ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **New Features** - Enhanced metrics reporting with improved visualizations, including histogram and confidence interval plots. - Introduced an asynchronous evaluation process that supports parallel execution and streamlined result aggregation. - Added new configuration options to control metrics calculation and aggregated output storage. - **Refactor** - Restructured dashboard generation and evaluation workflows into a more modular, maintainable design. - Improved error handling and logging for better feedback during evaluation processes. - **Bug Fixes** - Updated test cases to ensure accurate validation of the new dashboard generation and metrics calculation functionalities. <!-- end of auto-generated comment: release notes by coderabbit.ai --> |
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| .. | ||
| metrics | ||
| __init__.py | ||
| base_eval_adapter.py | ||
| deep_eval_adapter.py | ||
| direct_llm_eval_adapter.py | ||
| evaluation_executor.py | ||
| evaluator_adapters.py | ||
| run_evaluation_module.py | ||