diff options
Diffstat (limited to 'bin')
| -rwxr-xr-x | bin/analyze-archive.py | 16 |
1 files changed, 15 insertions, 1 deletions
diff --git a/bin/analyze-archive.py b/bin/analyze-archive.py index da60212..c369cf8 100755 --- a/bin/analyze-archive.py +++ b/bin/analyze-archive.py @@ -46,7 +46,7 @@ from dfatool.loader import RawData, pta_trace_to_aggregate from dfatool.functions import gplearn_to_function from dfatool.model import PTAModel from dfatool.validation import CrossValidator -from dfatool.utils import filter_aggregate_by_param +from dfatool.utils import filter_aggregate_by_param, detect_outliers_in_aggregate from dfatool.automata import PTA @@ -312,6 +312,17 @@ if __name__ == "__main__": help="Plot power trace for state or transition NAME. X axis is wrong for non-MIMOSA measurements", ) parser.add_argument( + "--remove-outliers", + action="store_true", + help="Remove outliers exceeding the configured z score (default: 10)", + ) + parser.add_argument( + "--z-score", + type=int, + default=10, + help="Configure z score for outlier detection (and optional removel)", + ) + parser.add_argument( "--show-models", choices=["static", "paramdetection", "param", "all", "tex", "html"], help="static: show static model values as well as parameter detection heuristic.\n" @@ -522,6 +533,9 @@ if __name__ == "__main__": ) filter_aggregate_by_param(by_name, parameters, args.filter_param) + detect_outliers_in_aggregate( + by_name, z_limit=args.z_score, remove_outliers=args.remove_outliers + ) model = PTAModel( by_name, |