__bittensor/miners/Core Validator.py Analysis__
It is important to note here that I couldn't explain what the code actually does if you asked me. In fact, I didn't. If it seems inaccurate to you, then tell me and I can correct it. The explanation makes sense, I just couldn't explain it.
Querying multiple machine learning models (endpoints) and aggregating their predictions. Calculating Shapley values and Shapley synergies to evaluate the contributions of each model in a coalition. Formatting the predictions and logging results for a better understanding of model performance and interactions.
- query function: Sends queries to multiple endpoints (models), collects their responses, and returns the aggregated results along with endpoint statistics.
- shapley function: Calculates Shapley values based on endpoint statistics and the loss values of each model in a coalition.
- shapley_synergy function: Calculates Shapley synergies for coalitions of size 2, measuring the performance improvement over expected individual model performance.
- format_predictions function: Formats the batch task top-k predictions for a rich table print of query responses.
- unsuccess function: Prints the return codes and response times of unsuccessful responses.