From d3690e9bc7d73949891266742020ead92bb07855 Mon Sep 17 00:00:00 2001
From: "valentin.emiya" <valentin.emiya@lif.univ-mrs.fr>
Date: Thu, 3 Dec 2020 10:37:25 +0100
Subject: [PATCH] more measure
---
python/tffpy/experiments/exp_solve_tff.py | 9 ++++++---
1 file changed, 6 insertions(+), 3 deletions(-)
diff --git a/python/tffpy/experiments/exp_solve_tff.py b/python/tffpy/experiments/exp_solve_tff.py
index 44ba2e1..0e19bbc 100644
--- a/python/tffpy/experiments/exp_solve_tff.py
+++ b/python/tffpy/experiments/exp_solve_tff.py
@@ -898,8 +898,9 @@ def perf_measures(task_params, source_data, problem_data,
-------
dict
All data useful for result analysis including SDR and Itakura-Saito
- performance, running times, hyperparameter values, mask size and
- number of sub-regions.
+ performance, running times, hyperparameter values, mask size,
+ number of sub-regions, estimated rank (summed over sub-regions),
+ lowest singular value.
"""
x_tff = solved_data['x_tff']
x_zero = solved_data['x_zero']
@@ -955,7 +956,9 @@ def perf_measures(task_params, source_data, problem_data,
features = dict(mask_size=np.sum(gmtff.mask > 0),
mask_ratio=np.mean(gmtff.mask > 0),
n_subregions=gmtff.n_areas,
- rank_sum=np.sum([s.size for s in gmtff.s_vec_list]))
+ rank_sum=np.sum([s.size for s in gmtff.s_vec_list]),
+ lowest_sv=np.min([np.min(s) for s in gmtff.s_vec_list])
+ )
return dict(**running_times, **sdr_res, **is_res, **features)
--
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