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Diffstat (limited to 'test/train-sets/ref/0001.stderr')
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diff --git a/test/train-sets/ref/0001.stderr b/test/train-sets/ref/0001.stderr
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+final_regressor = models/0001.model
+creating cache_file = train-sets/0001.dat.cache
+Reading from train-sets/0001.dat
+num sources = 1
+Num weight bits = 17
+learning rate = 2.56e+06
+initial_t = 128000
+power_t = 1
+decay_learning_rate = 1
+learning_rate set to 2.56e+06
+average since example example current current current
+loss last counter weight label predict features
+1.000000 1.000000 3 3.0 0.0000 1.0000 326
+0.666667 0.333333 6 6.0 1.0000 0.0000 170
+0.407598 0.096716 11 11.0 0.0000 0.4840 212
+0.465796 0.523995 22 22.0 1.0000 0.0000 512
+0.468838 0.471879 44 44.0 0.0000 1.0000 380
+0.391612 0.312590 87 87.0 1.0000 0.0000 350
+0.356712 0.321812 174 174.0 1.0000 1.0000 140
+0.226064 0.095417 348 348.0 1.0000 1.0000 152
+
+finished run
+number of examples = 400
+weighted example sum = 400
+weighted label sum = 182
+average loss = 0.2017
+best constant = -0.001426
+total feature number = 179384