feat(quickadapter): add multiple aggregation methods for combined extrema weighting...

feat(quickadapter): add multiple aggregation methods for combined extrema weighting (v3.10.4)

- Add 5 new aggregation methods: arithmetic_mean, harmonic_mean, quadratic_mean, weighted_median, softmax
- Replace weighted_average (deprecated) with arithmetic_mean as new default
- Add softmax_temperature parameter (default: 1.0) for softmax aggregation
- Implement all methods using scipy.stats.pmean for power means (p=1,-1,2) and numpy for weighted_median
- Add softmax aggregation with temperature scaling and coefficient weighting
- Add validation and logging for softmax_temperature parameter
- Update README with precise mathematical formulas for all aggregation methods
- Bump version to 3.10.4 in strategy and model
- Add conditional logging for softmax_temperature when aggregation is softmax