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2026_Article_RESILINK_ML
Commit 7abfa26f by Joaquín Irazábal González
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Add SHAP beeswarm plot script for RBF optimization objective

This commit introduces a new script, `rbf_objective_shap_beeswarm.py`, which generates a SHAP beeswarm plot for the RBF optimization objective function. The script includes functionality to load RBF models, prepare background data, compute SHAP values, and save the results in various formats. It also implements a uniform design for sampling and applies a specific styling for the plots.
parent 99f20325
Showing with 440 additions and 0 deletions
Code/reports/width_optimization/2W/rbf_shap/it2/shap_values_objective_2W_B29_H30_TFD_W90_it2.csv 0 → 100644
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Code/reports/width_optimization/2W/rbf_shap/it2/shap_values_objective_2W_B34_H30_TFD_W90_it2.csv 0 → 100644
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24107.839560861103,14796.691368872038
-10893.876391256661,-1912.0541761514924
Code/reports/width_optimization/3W/rbf_shap/it0/objective_values_3W_B34_H45_TFD_W90_it0.csv 0 → 100644
tw1,tw2,tw3,objective_score,shap_baseline,shap_sum_plus_baseline
11.96560443700367,8.949905957768472,12.727381279202442,283.2789259618843,911.1937027148216,283.2789259618843
11.276312261534276,5.847596130988846,13.780601164730804,5955.71351431616,911.1937027148216,5955.71351431616
11.850257317913176,12.074578747492584,6.153022694079913,122431.3999458205,911.1937027148216,122431.3999458205
9.053473441060104,8.337182218093231,13.340884899637416,773.540169359919,911.1937027148216,773.540169359919
10.79478608072598,12.40485451943747,8.99072778944598,5961.245159322243,911.1937027148216,5961.245159322243
7.045148496062992,9.991263083142513,5.574355304937578,19221.29719969623,911.1937027148216,19221.29719969623
Code/reports/width_optimization/3W/rbf_shap/it0/shap_importance_objective_3W_B34_H45_TFD_W90_it0.csv 0 → 100644
feature,mean_abs_shap
tw3,27322.03855433154
tw2,6191.739661514076
tw1,5566.356603242402
Code/reports/width_optimization/3W/rbf_shap/it0/shap_values_objective_3W_B34_H45_TFD_W90_it0.csv 0 → 100644
tw1,tw2,tw3
-48.02660279859265,-379.1686671082786,-200.71950684606605
-189.46609909798644,5359.212613134742,-125.22670243541688
5692.472109894559,16919.606915698372,98908.12721751275
-154.04386319846444,128.30690570392795,-111.91657586036612
-1864.0348156483947,226.0937210790671,6687.992551176749
-25450.096128816418,-14138.04914636007,57898.248772157895
Code/reports/width_optimization/3W/rbf_shap/it1/shap_importance_objective_3W_B34_H45_TFD_W90_it1.csv 0 → 100644
feature,mean_abs_shap
tw3,27239.137530853925
tw2,20224.056037030492
tw1,11319.083308258541
Code/reports/width_optimization/3W/rbf_shap/it2/shap_importance_objective_3W_B29_H45_TFD_W90_it2.csv 0 → 100644
feature,mean_abs_shap
tw3,36855.63504437662
tw2,29549.934938494986
tw1,12029.906082698653
Code/reports/width_optimization/5W/rbf_shap/it2/shap_importance_objective_5W_B34_H60_TFD_W90_it2.csv 0 → 100644
feature,mean_abs_shap
tw3,5027.261071696631
tw2,1831.8622973817419
tw4,1145.7992555947617
tw1,896.8454400439913
tw5,736.0054025951147
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