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bugfix: cb_adf is not including some examples in stats calculation (#…
…1686) * bugfix: cb_adf is not including examples without shared features in stats calculations and output_example * Added RunTest for cb_adf without shared features
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{"_label_cost":0,"_label_probability":0.333333343,"_label_Action":2,"_labelIndex":1,"o":[{"EventId":"f5547244f88543d1bcad0e3416fbd592","v":{"reward":0.0,"value4":0.0,"value1":0.0,"value2":1400.0,"value3":0.0}}],"Timestamp":"2018-11-22T02:31:39.1440000Z","Version":"1","EventId":"f5547244f88543d1bcad0e3416fbd592","a":[2,1,3],"c":{"_multi":[{"name3":{"name4":4.65312243,"name2":1.0}},{"name3":{"name":4.65312243,"name2":1.0}},{"name3":{"name5":4.65312243}}]},"p":[0.333333343,0.333333343,0.333333343],"VWState":{"m":"N/A"}} |
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Num weight bits = 18 | ||
learning rate = 0.5 | ||
initial_t = 0 | ||
power_t = 0.5 | ||
using no cache | ||
Reading datafile = train-sets/no_shared_features.json | ||
num sources = 1 | ||
average since example example current current current | ||
loss last counter weight label predict features | ||
0.000000 0.000000 1 1.0 known 0:0... 8 | ||
|
||
finished run | ||
number of examples = 1 | ||
weighted example sum = 1.000000 | ||
weighted label sum = 0.000000 | ||
average loss = 0.000000 | ||
total feature number = 8 |
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