# nkululeko.ensemble

## Ensemble module for combining multiple models

Example of usage:  

```bash
python3 -m nkululeko.nkululeko --config examples/exp_emodb_os_knn.ini exp_emodb_os_svm.ini
```

List of ensemble arguments:   

  * `--config`: which experiments (INI files) to combine
  * `--method` (optional): majority_voting, mean (default), max, sum, uncertainty, uncertainty_weighted, confidence_weighted, performance_weighted  
  * `--threshold`: uncertainty threshold (1.0 means no threshold)
  * `--weights`: weights for performance_weighted method (could be from previous UAR, ACC)
  * `--outfile` (optional): name of CSV file for output (default: ensemble_result.csv)
  * `--no_labels` (optional): indicate that no ground truth is given