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more cats tests
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@jackgerrits
jackgerrits committed Aug 15, 2023
1 parent 043648e commit 3c933cf
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Showing 6 changed files with 186 additions and 186 deletions.
114 changes: 57 additions & 57 deletions test/pred-sets/ref/cats.predict
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20 changes: 10 additions & 10 deletions test/pred-sets/ref/cats_load.predict
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200 changes: 100 additions & 100 deletions test/pred-sets/ref/cats_room_temp.predict
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14 changes: 7 additions & 7 deletions test/train-sets/ref/cats-predict.stderr
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Expand Up @@ -15,17 +15,17 @@ Input label = CONTINUOUS
Output pred = ACTION_PDF_VALUE
average since example example current current current
loss last counter weight label predict features
0.000000 0.000000 1 1.0 {185.12,0.6... 17118.01,0 10
0.000000 0.000000 2 2.0 {772.59,0.4... 15724.64,0 10
0.226921 0.453841 4 4.0 {14122,0.02,0} 15138.83,0 10
0.321934 0.416948 8 8.0 {12715.1,0.... 15936.4,0 10
0.177189 0.032443 16 16.0 {669.12,0.4... 17399.62,0 10
0.189219 0.201250 32 32.0 {10786.7,0.... 14063.97,0 10
0.000000 0.000000 1 1.0 {185.12,0.6... 16793.77,0 10
0.000000 0.000000 2 2.0 {772.59,0.4... 17118.01,0 10
0.226921 0.453841 4 4.0 {14122,0.02,0} 15724.64,0 10
0.321934 0.416948 8 8.0 {12715.1,0.... 15138.83,0 10
0.200445 0.078955 16 16.0 {669.12,0.4... 15936.4,0 10
0.191026 0.181608 32 32.0 {10786.7,0.... 17399.62,0 10

finished run
number of examples = 57
weighted example sum = 57.000000
weighted label sum = 57.000000
average loss = 0.168316
average loss = 0.184755
total feature number = 570
Learn() count per node: id=0, #l=17; id=1, #l=0; id=2, #l=0;
8 changes: 4 additions & 4 deletions test/train-sets/ref/cats_load.stderr
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Expand Up @@ -16,10 +16,10 @@ Input label = CONTINUOUS
Output pred = ACTION_PDF_VALUE
average since example example current current current
loss last counter weight label predict features
0.000000 0.000000 1 1.0 {0,0,0.01} 2.31,0.41 6
0.000000 0.000000 2 2.0 {0.58,0,0.41} 1.85,0.41 6
0.000000 0.000000 4 4.0 {10.35,0,0.01} 1.74,0.41 6
0.000000 0.000000 8 8.0 {2.41,0,0.41} 30,0.01 6
0.000000 0.000000 1 1.0 {0,0,0.01} 25.27,0.01 6
0.000000 0.000000 2 2.0 {0.58,0,0.41} 2.13,0.41 6
0.000000 0.000000 4 4.0 {10.35,0,0.01} 18.21,0.01 6
0.000000 0.000000 8 8.0 {2.41,0,0.41} 1.78,0.41 6

finished run
number of examples = 10
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