diff options
Diffstat (limited to 'bin')
| -rwxr-xr-x | bin/analyze-archive.py | 18 | ||||
| -rwxr-xr-x | bin/analyze-kconfig.py | 18 |
2 files changed, 30 insertions, 6 deletions
diff --git a/bin/analyze-archive.py b/bin/analyze-archive.py index 0a2845c..5f6be9a 100755 --- a/bin/analyze-archive.py +++ b/bin/analyze-archive.py @@ -935,11 +935,16 @@ if __name__ == "__main__": ) if xv_method == "montecarlo": - analytic_quality, _ = xv.montecarlo(lambda m: m.get_fitted()[0], xv_count) + analytic_quality, xv_analytic_models = xv.montecarlo( + lambda m: m.get_fitted()[0], xv_count + ) elif xv_method == "kfold": - analytic_quality, _ = xv.kfold(lambda m: m.get_fitted()[0], xv_count) + analytic_quality, xv_analytic_models = xv.kfold( + lambda m: m.get_fitted()[0], xv_count + ) else: analytic_quality = model.assess(param_model) + xv_analytic_models = None if "tex" in show_models or "tex" in show_quality: print_text_model_data( @@ -1053,7 +1058,14 @@ if __name__ == "__main__": if args.export_dref: dref = raw_data.to_dref() - dref.update(model.to_dref(static_quality, lut_quality, analytic_quality)) + dref.update( + model.to_dref( + static_quality, + lut_quality, + analytic_quality, + xv_models=xv_analytic_models, + ) + ) dref["constructor duration"] = (constructor_duration, r"\second") dref["regression duration"] = (fit_duration, r"\second") with open(args.export_dref, "w") as f: diff --git a/bin/analyze-kconfig.py b/bin/analyze-kconfig.py index 048c8c9..684d6b3 100755 --- a/bin/analyze-kconfig.py +++ b/bin/analyze-kconfig.py @@ -238,7 +238,9 @@ def main(): if xv_method == "montecarlo": static_quality, _ = xv.montecarlo(lambda m: m.get_static(), xv_count) - analytic_quality, _ = xv.montecarlo(lambda m: m.get_fitted()[0], xv_count) + analytic_quality, xv_analytic_models = xv.montecarlo( + lambda m: m.get_fitted()[0], xv_count + ) if lut_model: lut_quality, _ = xv.montecarlo( lambda m: m.get_param_lut(fallback=True), xv_count @@ -247,7 +249,9 @@ def main(): lut_quality = None elif xv_method == "kfold": static_quality, _ = xv.kfold(lambda m: m.get_static(), xv_count) - analytic_quality, _ = xv.kfold(lambda m: m.get_fitted()[0], xv_count) + analytic_quality, xv_analytic_models = xv.kfold( + lambda m: m.get_fitted()[0], xv_count + ) if lut_model: lut_quality, _ = xv.kfold( lambda m: m.get_param_lut(fallback=True), xv_count @@ -257,6 +261,7 @@ def main(): else: static_quality = model.assess(static_model) analytic_quality = model.assess(param_model) + xv_analytic_models = none if lut_model: lut_quality = model.assess(lut_model) else: @@ -324,7 +329,14 @@ def main(): static_quality = model.assess(static_model) if args.export_dref: - dref.update(model.to_dref(static_quality, lut_quality, analytic_quality)) + dref.update( + model.to_dref( + static_quality, + lut_quality, + analytic_quality, + xv_models=xv_analytic_models, + ) + ) dref["constructor duration"] = (constructor_duration, r"\second") dref["regression duration"] = (fit_duration, r"\second") with open(args.export_dref, "w") as f: |