running all examples and adding MSEv to them

NorskRegnesentral · Apr 10, 2024 · 5d93386 · 5d93386
1 parent 1275e99
commit 5d93386
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Showing 5 changed files with 69 additions and 21 deletions.
diff --git a/python/examples/keras_classifier.py b/python/examples/keras_classifier.py
@@ -50,3 +50,11 @@
 5          0.026814  
 
  """
+
+# Look at the (overall) MSEv
+MSEv["MSEv"]
+
+"""
+	MSEv	MSEv_sd
+1	0.000312	0.00014
+"""
diff --git a/python/examples/pytorch_custom.py b/python/examples/pytorch_custom.py
@@ -45,3 +45,24 @@ def forward(self, x):
     prediction_zero = dfy_train.mean().item(),
 )
 print(df_shapley)
+"""
+       none    MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  \
+1  2.205947  2.313935  5.774470  5.425240   4.194669    1.712164  3.546001   
+2  2.205947  4.477620  5.467266  2.904239   3.046492    1.484807  5.631292   
+3  2.205946  4.028013  1.168401  5.229893   1.719724    2.134012  3.426378   
+4  2.205948  4.230376  8.639265  1.138520   3.776463    3.786978  4.253034   
+5  2.205947  3.923747  1.483737  1.113199   4.963213   -3.645875  4.950775   
+
+   Latitude  Longitude  
+1  1.102239   2.906469  
+2  4.966465   2.178510  
+3  3.503413   2.909760  
+4  3.413727   3.795563  
+5  3.011126   4.016985  
+"""
+
+MSEv["MSEv"]
+"""
+MSEv	MSEv_sd
+1	27.046126	7.253933
+"""
diff --git a/python/examples/sklearn_regressor.py b/python/examples/sklearn_regressor.py
@@ -34,6 +34,12 @@
 5  0.099410   0.315230   
 """
 
+MSEv["MSEv"]
+"""
+MSEv	MSEv_sd
+1	0.534141	0.247984
+"""
+
 # Now do this for grouping as well
 
 group = {'A': ['MedInc','HouseAge','AveRooms'],

diff --git a/python/examples/xgboost_booster.py b/python/examples/xgboost_booster.py
@@ -20,17 +20,23 @@
 
 """ 
        none    MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  \
-1  2.205937 -0.701774  0.105231 -0.062693   0.119937   -0.054787 -0.296760   
-2  2.205938 -0.518543  0.062408 -0.447457  -0.232334   -0.015201  0.080512   
-3  2.205938  0.313422  0.558150  0.064590  -0.603992    0.052804  1.035786   
-4  2.205938  0.473781 -0.093358  0.046108   0.105684   -0.153729 -0.151584   
-5  2.205938 -0.084333 -0.099879 -0.119632   0.217170    0.162796  0.253543   
+1  2.205937 -0.660639  0.085530 -0.103341   0.123983   -0.056817 -0.282401   
+2  2.205938 -0.521214  0.073131 -0.506383  -0.184693   -0.011323  0.133417   
+3  2.205938  0.513277  0.715094  0.044417  -0.220822    0.049277  1.096243   
+4  2.205938  0.382929 -0.092198 -0.016058   0.150373   -0.137098 -0.260570   
+5  2.205938 -0.424637 -0.060884 -0.136637   0.153806    0.100997 -0.020819   
 
    Latitude  Longitude  
-1 -0.553604  -0.223937  
-2 -0.258331  -0.097497  
-3  0.175916   0.410554  
-4  0.080829   0.187370  
-5  0.129439   0.382075  
-
+1 -0.525114  -0.222924  
+2 -0.211306  -0.063592  
+3  0.099492   0.392385  
+4  0.101910   0.206964  
+5  0.090441   0.314439  
  """
+
+MSEv["MSEv"]
+
+"""
+MSEv	MSEv_sd
+1	0.815449	0.459069
+"""
diff --git a/python/examples/xgboost_regressor.py b/python/examples/xgboost_regressor.py
@@ -20,17 +20,24 @@
 
 """ 
        none    MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  \
-1  2.205937 -0.697653  0.103323 -0.066003   0.115853   -0.057640 -0.292739   
-2  2.205938 -0.521995  0.064876 -0.445466  -0.230454   -0.019290  0.080655   
-3  2.205938  0.307681  0.563008  0.062743  -0.626912    0.050450  1.050069   
-4  2.205938  0.479900 -0.100035  0.030474   0.104301   -0.154396 -0.148057   
-5  2.205938 -0.088568 -0.101495 -0.121637   0.213535    0.169194  0.253711   
+1  2.205937 -0.655245  0.079722 -0.096497   0.126559   -0.056841 -0.287298   
+2  2.205938 -0.512414  0.077358 -0.504863  -0.176676   -0.005584  0.128635   
+3  2.205938  0.510828  0.719958  0.039504  -0.225118    0.044157  1.116464   
+4  2.205938  0.381191 -0.098956 -0.022961   0.145486   -0.139457 -0.241768   
+5  2.205938 -0.427220 -0.059622 -0.135028   0.158339    0.084157 -0.017783   
 
    Latitude  Longitude  
-1 -0.573533  -0.237709  
-2 -0.265165  -0.090790  
-3  0.181936   0.412604  
-4  0.078605   0.186957  
-5  0.126759   0.376471  
+1 -0.579708  -0.231051  
+2 -0.212670  -0.051049  
+3  0.103866   0.405895  
+4  0.062271   0.201911  
+5  0.078978   0.307480  
 
  """
+
+MSEv["MSEv"]
+
+"""
+MSEv	MSEv_sd
+1	0.825758	0.465439
+"""