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Diffstat (limited to 'test/train-sets')
-rw-r--r--test/train-sets/oneofmany_data19
-rw-r--r--test/train-sets/ref/oneofmany_data.stderr28
2 files changed, 0 insertions, 47 deletions
diff --git a/test/train-sets/oneofmany_data b/test/train-sets/oneofmany_data
deleted file mode 100644
index 08808c60..00000000
--- a/test/train-sets/oneofmany_data
+++ /dev/null
@@ -1,19 +0,0 @@
-2 | b
-1 | a
-1 | c
-1 | d
-1 | e
-
-1 | a
-1 | c
-1 | d
-1 | e
-
-1 | c
-1 | b
-1 | d
-
-2 | b
-1 | a
-1 | d
-
diff --git a/test/train-sets/ref/oneofmany_data.stderr b/test/train-sets/ref/oneofmany_data.stderr
deleted file mode 100644
index 5c5e283f..00000000
--- a/test/train-sets/ref/oneofmany_data.stderr
+++ /dev/null
@@ -1,28 +0,0 @@
-Num weight bits = 18
-learning rate = 0.5
-initial_t = 0
-power_t = 0.5
-decay_learning_rate = 1
-creating cache_file = train-sets/oneofmany_data.cache
-Reading datafile = train-sets/oneofmany_data
-num sources = 1
-average since example example current current current
-loss last counter weight label predict features
-average since sequence example current label current predicted current cur cur predic. examples
-loss last counter weight sequence prefix sequence prefix features pass pol made gener.
-10.000000 10.000000 1 1.000000 [2 ] [1 ] 15 0 0 5 5
-5.500000 1.000000 2 2.000000 [1 ] [2 ] 12 0 0 9 9
-5.250000 5.000000 4 4.000000 [2 ] [1 ] 9 0 0 15 15
-2.875000 0.500000 8 8.000000 [2 ] [2 ] 9 1 0 30 30
-1.687500 0.500000 16 16.000000 [2 ] [2 ] 9 3 0 60 60
-1.093750 0.500000 32 32.000000 [2 ] [2 ] 9 7 0 120 120
-0.796875 0.500000 64 64.000000 [2 ] [2 ] 9 15 0 240 240
-
-finished run
-number of examples per pass = 4
-passes used = 20
-weighted example sum = 80
-weighted label sum = 0
-average loss = 0.7375
-best constant = 0
-total feature number = 900