JohnLangford/vowpal_wabbit — pull request #147 by pierce1987 (2013-09-03 16:47:28+00:00)
Title: tweak printout for holdout

Hi John, here is the tweak for holdout printout, as requested in the mailing list.

Now the printout looks like ( when holdout loss and holdout example counter are both 0.)
```
Num weight bits = 18
learning rate = 0.5
initial_t = 0
power_t = 0.5
decay_learning_rate = 1
creating cache_file = test_data.cache
Reading datafile = test_data
num sources = 1
average since example example current current current
loss last counter weight label predict features
4.710480 4.710480 3 3.0 1.0000 0.6369 5
unknown unknown 6 6.0 3.0000 1.9788 7 h
unknown unknown 11 11.0 1.0000 1.7617 5 h
unknown unknown 22 22.0 3.0000 2.9151 7 h

finished run
number of examples per pass= 4
passes used = 10
weighted example sum = 40
weighted label sum = 90
average loss = 0.736859
best constant = 2.25
total feature number = 240
```
If this looks fine, I will update the printout for other reductions, as well as updating the stderr files in the test cases.