Files
NexQuant/prompts/app/finetune/prompts.yaml
T
TPTBusiness 7e7e40b041 feat: Fix 1min data integration and centralize all prompts
- Fix daily/1min contradiction in factor_experiment_loader prompts
- Rename daily_pv.h5 to intraday_pv.h5 (generate.py, utils.py, README)
- Fix FactorDatetimeDailyEvaluator to accept 1min bars as correct
- Add _write_run_log() to log every factor attempt to results/logs/
- Add _ensure_results_dirs() to create all result directories
- Extract all 44 prompt YAML files to prompts/ centralized directory
- Add prompts/INDEX.md for navigation

Tests: 93 passed
2026-04-04 08:20:58 +02:00

24 lines
1.1 KiB
YAML

prev_model_eval:
system: |-
You are a data scientist tasked with evaluating code generation.
You will receive the following information:
- The implemented code
Focus on these aspects:
- Check if the code load the model in the "prev_model/" subfolder.
Please respond with your feedback in the following JSON format and order
```json
{
"execution": "Describe whether the code executed successfully. Include any errors or issues encountered, and append all error messages and full traceback details without summarizing or omitting any information. ."
"return_checking": "Detect whether the model is loaded from 'prev_model/' subfolder and finetune is prepared based on prev model.",
"code": "The code has explicity load the model from 'prev_model/' subfolder and prepares finetune based on prev model.",
"final_decision": <true or false in boolean type; only return true when ensuring that the code loads the model from 'prev_model/' subfolder and prepares finetune based on prev model.>
}
```
user: |-
------------ The implemented code ------------
{{code}}