1e PM - alpha correction

eXascaleInfolab · Jan 8, 2025 · 9ae4a91 · 9ae4a91
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diff --git a/.idea/workspace.xml b/.idea/workspace.xml
diff --git a/tests/assets/25_01_08_12_54_30_plot.jpg b/tests/assets/25_01_08_12_54_30_plot.jpg
diff --git a/tests/assets/shap/chlorine_cdrec_DTL_Waterfall.png b/tests/assets/shap/chlorine_cdrec_DTL_Waterfall.png
diff --git a/tests/assets/shap/chlorine_cdrec_shap_plot.png b/tests/assets/shap/chlorine_cdrec_shap_plot.png
diff --git a/tests/assets/shap/chlorine_cdrec_shap_reverse_plot.png b/tests/assets/shap/chlorine_cdrec_shap_reverse_plot.png
diff --git a/tests/report.log b/tests/report.log
@@ -2548,3 +2548,171 @@
        -4.92928712e-04,  4.47419329e-04,  0.00000000e+00,  3.24089510e-05,
         5.08976312e-04, -2.52382030e-04,  2.40086385e-04,  3.93498054e-05,
         1.35728754e-04,  4.78694781e-05])
+2025-01-08 12:53:10,960 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:10,964 - shap - INFO - remaining_weight_vector = array([0.22727203, 0.18465852, 0.16115653, 0.14772682, 0.14069221,
+       0.13849389])
+2025-01-08 12:53:10,966 - shap - INFO - num_paired_subset_sizes = 7
+2025-01-08 12:53:10,994 - shap - INFO - weight_left = 0.5063344810024111
+2025-01-08 12:53:11,063 - shap - INFO - np.sum(w_aug) = 15.999999999999998
+2025-01-08 12:53:11,064 - shap - INFO - np.sum(self.kernelWeights) = 1.0000000000000004
+2025-01-08 12:53:11,326 - shap - INFO - phi = array([ 0.00000000e+00, -1.50023544e-02,  0.00000000e+00, -2.02580848e-05,
+        0.00000000e+00, -5.09701368e-04,  0.00000000e+00,  0.00000000e+00,
+        0.00000000e+00,  3.61519831e-04, -5.85833154e-05, -1.95096124e-05,
+        0.00000000e+00,  0.00000000e+00,  4.17635045e-05,  0.00000000e+00])
+2025-01-08 12:53:11,367 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:11,382 - shap - INFO - remaining_weight_vector = array([0.22727203, 0.18465852, 0.16115653, 0.14772682, 0.14069221,
+       0.13849389])
+2025-01-08 12:53:11,384 - shap - INFO - num_paired_subset_sizes = 7
+2025-01-08 12:53:11,425 - shap - INFO - weight_left = 0.5063344810024111
+2025-01-08 12:53:11,487 - shap - INFO - np.sum(w_aug) = 16.0
+2025-01-08 12:53:11,490 - shap - INFO - np.sum(self.kernelWeights) = 1.0000000000000002
+2025-01-08 12:53:11,545 - shap - INFO - phi = array([ 0.00000000e+00,  6.98755365e-03,  0.00000000e+00,  5.50026649e-05,
+        0.00000000e+00,  3.23477891e-04,  0.00000000e+00,  0.00000000e+00,
+        0.00000000e+00,  2.79513972e-04,  2.95546563e-05, -1.96320751e-05,
+        0.00000000e+00,  0.00000000e+00,  3.64300667e-05,  0.00000000e+00])
+2025-01-08 12:53:11,585 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:11,589 - shap - INFO - remaining_weight_vector = array([0.22727203, 0.18465852, 0.16115653, 0.14772682, 0.14069221,
+       0.13849389])
+2025-01-08 12:53:11,592 - shap - INFO - num_paired_subset_sizes = 7
+2025-01-08 12:53:11,639 - shap - INFO - weight_left = 0.5063344810024111
+2025-01-08 12:53:11,702 - shap - INFO - np.sum(w_aug) = 15.999999999999998
+2025-01-08 12:53:11,704 - shap - INFO - np.sum(self.kernelWeights) = 1.0
+2025-01-08 12:53:11,793 - shap - INFO - phi = array([ 0.00000000e+00,  7.83514370e-03,  0.00000000e+00,  5.74602732e-05,
+        0.00000000e+00,  3.20042444e-04,  0.00000000e+00,  0.00000000e+00,
+        0.00000000e+00,  2.79854610e-04,  3.35067254e-05, -2.12039317e-05,
+        0.00000000e+00,  0.00000000e+00,  3.39326044e-05,  0.00000000e+00])
+2025-01-08 12:53:11,870 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:11,872 - shap - INFO - remaining_weight_vector = array([0.22727203, 0.18465852, 0.16115653, 0.14772682, 0.14069221,
+       0.13849389])
+2025-01-08 12:53:11,875 - shap - INFO - num_paired_subset_sizes = 7
+2025-01-08 12:53:11,903 - shap - INFO - weight_left = 0.5063344810024111
+2025-01-08 12:53:11,992 - shap - INFO - np.sum(w_aug) = 16.0
+2025-01-08 12:53:11,996 - shap - INFO - np.sum(self.kernelWeights) = 1.0000000000000002
+2025-01-08 12:53:12,164 - shap - INFO - phi = array([ 0.00000000e+00,  7.83300758e-03,  0.00000000e+00, -3.77635568e-05,
+        0.00000000e+00,  3.22798631e-04,  0.00000000e+00,  0.00000000e+00,
+        0.00000000e+00,  2.06331673e-04,  3.42744327e-05, -2.10990653e-05,
+        0.00000000e+00,  0.00000000e+00,  3.66266024e-05,  0.00000000e+00])
+2025-01-08 12:53:12,195 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:12,198 - shap - INFO - remaining_weight_vector = array([0.22727203, 0.18465852, 0.16115653, 0.14772682, 0.14069221,
+       0.13849389])
+2025-01-08 12:53:12,202 - shap - INFO - num_paired_subset_sizes = 7
+2025-01-08 12:53:12,265 - shap - INFO - weight_left = 0.5063344810024111
+2025-01-08 12:53:12,328 - shap - INFO - np.sum(w_aug) = 15.999999999999996
+2025-01-08 12:53:12,331 - shap - INFO - np.sum(self.kernelWeights) = 1.0000000000000004
+2025-01-08 12:53:12,474 - shap - INFO - phi = array([ 0.00000000e+00,  7.85856112e-03,  0.00000000e+00, -3.68080669e-05,
+        0.00000000e+00,  3.21980994e-04, -3.16954647e-05,  0.00000000e+00,
+        0.00000000e+00,  2.10353156e-04,  3.22765781e-05, -1.67189690e-05,
+        0.00000000e+00,  0.00000000e+00,  3.62269527e-05,  0.00000000e+00])
+2025-01-08 12:53:12,574 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:12,577 - shap - INFO - remaining_weight_vector = array([0.22727203, 0.18465852, 0.16115653, 0.14772682, 0.14069221,
+       0.13849389])
+2025-01-08 12:53:12,579 - shap - INFO - num_paired_subset_sizes = 7
+2025-01-08 12:53:12,607 - shap - INFO - weight_left = 0.5063344810024111
+2025-01-08 12:53:12,678 - shap - INFO - np.sum(w_aug) = 15.999999999999996
+2025-01-08 12:53:12,680 - shap - INFO - np.sum(self.kernelWeights) = 1.0000000000000002
+2025-01-08 12:53:12,777 - shap - INFO - phi = array([ 0.00000000e+00, -1.54999197e-02,  0.00000000e+00, -1.76832343e-05,
+        0.00000000e+00, -7.80192307e-04,  3.02281224e-05,  0.00000000e+00,
+        0.00000000e+00, -1.35021310e-03, -5.77968265e-05,  9.95378354e-05,
+        0.00000000e+00,  0.00000000e+00, -1.95827178e-04,  0.00000000e+00])
+2025-01-08 12:53:12,873 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:12,877 - shap - INFO - remaining_weight_vector = array([0.20732477, 0.16660026, 0.14353254, 0.12957798, 0.12116383,
+       0.11662019, 0.11518043])
+2025-01-08 12:53:12,880 - shap - INFO - num_paired_subset_sizes = 8
+2025-01-08 12:53:12,911 - shap - INFO - weight_left = 0.528623703595323
+2025-01-08 12:53:12,963 - shap - INFO - np.sum(w_aug) = 17.999999999999996
+2025-01-08 12:53:12,965 - shap - INFO - np.sum(self.kernelWeights) = 0.9999999999999999
+2025-01-08 12:53:13,101 - shap - INFO - phi = array([ 0.00000000e+00,  8.73719721e-03,  8.70989873e-05,  0.00000000e+00,
+        3.82326113e-03,  1.31848484e-02,  5.20288498e-03,  9.31428142e-03,
+        4.69081262e-03,  2.61527800e-03,  1.35926816e-02,  6.77844836e-04,
+        1.74856500e-02, -1.47938398e-03,  6.19260167e-03,  2.13404411e-05,
+       -8.58253570e-05,  2.94089462e-03])
+2025-01-08 12:53:13,118 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:13,121 - shap - INFO - remaining_weight_vector = array([0.21046803, 0.16837443, 0.14432094, 0.12951879, 0.12026745,
+       0.11480075, 0.11224962])
+2025-01-08 12:53:13,124 - shap - INFO - num_paired_subset_sizes = 9
+2025-01-08 12:53:13,164 - shap - INFO - weight_left = 0.5381032434909889
+2025-01-08 12:53:13,228 - shap - INFO - np.sum(w_aug) = 19.0
+2025-01-08 12:53:13,229 - shap - INFO - np.sum(self.kernelWeights) = 0.9999999999999998
+2025-01-08 12:53:13,291 - shap - INFO - phi = array([-4.27027606e-04,  6.05087701e-03,  1.50737404e-03, -6.98188770e-05,
+        4.15252868e-03, -1.19120284e-04,  4.61029650e-03,  2.89296701e-03,
+        3.16197712e-03,  1.08629331e-02,  4.47721753e-04,  1.13389074e-02,
+       -3.31697616e-04,  3.70992275e-03, -3.04629404e-03, -1.59238173e-03,
+       -1.83253053e-03,  3.71123323e-04,  1.31799752e-03])
+2025-01-08 12:53:13,322 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:13,329 - shap - INFO - remaining_weight_vector = array([0.20732477, 0.16660026, 0.14353254, 0.12957798, 0.12116383,
+       0.11662019, 0.11518043])
+2025-01-08 12:53:13,330 - shap - INFO - num_paired_subset_sizes = 8
+2025-01-08 12:53:13,384 - shap - INFO - weight_left = 0.528623703595323
+2025-01-08 12:53:13,445 - shap - INFO - np.sum(w_aug) = 18.0
+2025-01-08 12:53:13,450 - shap - INFO - np.sum(self.kernelWeights) = 0.9999999999999998
+2025-01-08 12:53:13,503 - shap - INFO - phi = array([-0.00999016, -0.01238472,  0.00114272,  0.00017878,  0.00491261,
+        0.00068625,  0.00612538,  0.        ,  0.00258732,  0.01295154,
+        0.00075907,  0.01299131, -0.00110445,  0.00643902, -0.00222172,
+        0.        ,  0.00056204,  0.00261269])
+2025-01-08 12:53:13,531 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:13,536 - shap - INFO - remaining_weight_vector = array([0.21046803, 0.16837443, 0.14432094, 0.12951879, 0.12026745,
+       0.11480075, 0.11224962])
+2025-01-08 12:53:13,541 - shap - INFO - num_paired_subset_sizes = 9
+2025-01-08 12:53:13,612 - shap - INFO - weight_left = 0.5381032434909889
+2025-01-08 12:53:13,697 - shap - INFO - np.sum(w_aug) = 19.0
+2025-01-08 12:53:13,702 - shap - INFO - np.sum(self.kernelWeights) = 0.9999999999999996
+2025-01-08 12:53:13,848 - shap - INFO - phi = array([-9.31286008e-03, -1.31748326e-02,  1.29378700e-03,  1.69462623e-04,
+        4.55101767e-03,  3.09714247e-04,  6.49898379e-03,  0.00000000e+00,
+        2.49537394e-03,  5.44153541e-03,  9.05871572e-04,  4.47591939e-05,
+       -1.78593088e-04,  6.48523956e-03, -1.85529336e-03, -4.81050964e-05,
+       -4.71326274e-04,  1.19859543e-03,  2.93209247e-03])
+2025-01-08 12:53:13,889 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:13,917 - shap - INFO - remaining_weight_vector = array([0.23108621, 0.18664656, 0.16176035, 0.14705486, 0.13865173,
+       0.13480029])
+2025-01-08 12:53:13,919 - shap - INFO - num_paired_subset_sizes = 8
+2025-01-08 12:53:13,967 - shap - INFO - weight_left = 0.5181019626448611
+2025-01-08 12:53:14,049 - shap - INFO - np.sum(w_aug) = 17.000000000000007
+2025-01-08 12:53:14,055 - shap - INFO - np.sum(self.kernelWeights) = 1.0000000000000002
+2025-01-08 12:53:14,182 - shap - INFO - phi = array([-0.01516889, -0.02375469,  0.00212133, -0.00010974,  0.00498366,
+        0.00019539,  0.00562799, -0.00049359,  0.00024028,  0.00213718,
+       -0.00126649, -0.00473163, -0.00189329,  0.00249173, -0.00193585,
+       -0.00016726,  0.00179716])
+2025-01-08 12:53:14,218 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:14,242 - shap - INFO - remaining_weight_vector = array([0.22727203, 0.18465852, 0.16115653, 0.14772682, 0.14069221,
+       0.13849389])
+2025-01-08 12:53:14,252 - shap - INFO - num_paired_subset_sizes = 7
+2025-01-08 12:53:14,297 - shap - INFO - weight_left = 0.5063344810024111
+2025-01-08 12:53:14,369 - shap - INFO - np.sum(w_aug) = 15.999999999999998
+2025-01-08 12:53:14,377 - shap - INFO - np.sum(self.kernelWeights) = 1.0000000000000004
+2025-01-08 12:53:14,540 - shap - INFO - phi = array([-0.01549215, -0.0247453 ,  0.00192913, -0.00018629,  0.00321626,
+       -0.00060339,  0.0020008 , -0.000509  ,  0.00221582, -0.00186174,
+       -0.00520739, -0.00220376,  0.0011295 , -0.00219331, -0.00024098,
+        0.00131353])
+2025-01-08 12:53:14,578 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:14,589 - shap - INFO - remaining_weight_vector = array([0.22727203, 0.18465852, 0.16115653, 0.14772682, 0.14069221,
+       0.13849389])
+2025-01-08 12:53:14,600 - shap - INFO - num_paired_subset_sizes = 7
+2025-01-08 12:53:14,646 - shap - INFO - weight_left = 0.5063344810024111
+2025-01-08 12:53:14,713 - shap - INFO - np.sum(w_aug) = 15.999999999999996
+2025-01-08 12:53:14,721 - shap - INFO - np.sum(self.kernelWeights) = 1.0000000000000002
+2025-01-08 12:53:14,820 - shap - INFO - phi = array([-1.80105641e-02, -3.21919336e-02,  3.95965453e-04, -1.83903487e-05,
+        1.29916230e-03, -7.92199895e-04,  4.29598682e-04, -4.15250765e-04,
+        9.51280340e-04, -3.07515091e-03, -5.30119057e-03, -9.01749893e-03,
+        8.06046464e-05, -2.29043339e-03, -9.87074497e-05, -1.69110457e-04])
+2025-01-08 12:53:14,873 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:14,878 - shap - INFO - remaining_weight_vector = array([0.22727203, 0.18465852, 0.16115653, 0.14772682, 0.14069221,
+       0.13849389])
+2025-01-08 12:53:14,882 - shap - INFO - num_paired_subset_sizes = 7
+2025-01-08 12:53:14,932 - shap - INFO - weight_left = 0.5063344810024111
+2025-01-08 12:53:15,000 - shap - INFO - np.sum(w_aug) = 16.0
+2025-01-08 12:53:15,008 - shap - INFO - np.sum(self.kernelWeights) = 1.0000000000000002
+2025-01-08 12:53:15,216 - shap - INFO - phi = array([-1.72785041e-02, -3.45600067e-02,  0.00000000e+00, -9.32098977e-05,
+        1.65728458e-04, -6.49205028e-04, -8.24981328e-05,  4.10920449e-03,
+       -1.10003219e-04,  0.00000000e+00, -5.15045042e-03, -7.98900699e-03,
+        0.00000000e+00,  0.00000000e+00, -8.28004351e-05, -1.51021332e-04])
+2025-01-08 12:53:15,245 - shap - INFO - num_full_subsets = 2
+2025-01-08 12:53:15,252 - shap - INFO - remaining_weight_vector = array([0.22727203, 0.18465852, 0.16115653, 0.14772682, 0.14069221,
+       0.13849389])
+2025-01-08 12:53:15,264 - shap - INFO - num_paired_subset_sizes = 7
+2025-01-08 12:53:15,304 - shap - INFO - weight_left = 0.5063344810024111
+2025-01-08 12:53:15,370 - shap - INFO - np.sum(w_aug) = 15.999999999999998
+2025-01-08 12:53:15,374 - shap - INFO - np.sum(self.kernelWeights) = 1.0000000000000002
+2025-01-08 12:53:15,503 - shap - INFO - phi = array([ 0.00000000e+00, -1.58921592e-02,  0.00000000e+00, -2.01331423e-05,
+       -5.04716525e-06, -5.07116946e-04,  2.85889491e-05, -5.10054262e-04,
+        0.00000000e+00,  3.59597734e-04, -5.66061833e-05, -2.68997150e-05,
+        0.00000000e+00,  0.00000000e+00,  5.30719090e-05,  0.00000000e+00])