Welcome to mirror list, hosted at ThFree Co, Russian Federation.

github.com/moses-smt/vowpal_wabbit.git - Unnamed repository; edit this file 'description' to name the repository.
summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorariel faigon <github.2009@yendor.com>2013-12-27 08:14:11 +0400
committerariel faigon <github.2009@yendor.com>2013-12-27 08:14:11 +0400
commitee075717753fd740d3f8741db75c76248a84af16 (patch)
treedfaa6f574a9731613ee72761addc978d93d05383 /test/RunTests
parent68ba558925d7105c9a7caca1b3047672a455d36b (diff)
Remove a few empty ref/*.stdout - not needed anymore.
Diffstat (limited to 'test/RunTests')
-rwxr-xr-xtest/RunTests9
1 files changed, 2 insertions, 7 deletions
diff --git a/test/RunTests b/test/RunTests
index 064daeb6..33881a77 100755
--- a/test/RunTests
+++ b/test/RunTests
@@ -8,7 +8,8 @@
# See __DATA__ below for how to add more tests
#
use Getopt::Std;
-use vars qw($opt_d $opt_D $opt_c $opt_e $opt_f $opt_E $opt_o $opt_w $opt_y $opt_v);
+use vars qw($opt_d $opt_D $opt_c $opt_e $opt_f
+ $opt_E $opt_o $opt_w $opt_y $opt_v);
my $Epsilon = 1e-4;
@@ -586,12 +587,10 @@ run_tests();
__DATA__
# Test 1:
{VW} -k -l 20 --initial_t 128000 --power_t 1 -d train-sets/0001.dat -f models/0001.model -c --passes 8 --invariant --ngram 3 --skips 1 --holdout_off
- train-sets/ref/0001.stdout
train-sets/ref/0001.stderr
# Test 2: checking predictions as well
{VW} -k -t train-sets/0001.dat -i models/0001.model -p 001.predict.tmp --invariant
- test-sets/ref/0001.stdout
test-sets/ref/0001.stderr
pred-sets/ref/0001.predict
@@ -613,18 +612,15 @@ __DATA__
# Test 6: run predictions on Test 4 model
# Pretending the labels aren't there
{VW} -k -t -i models/0002.model -d train-sets/0002.dat -p 0002b.predict
- test-sets/ref/0002b.stdout
test-sets/ref/0002b.stderr
pred-sets/ref/0002b.predict
# Test 7: using normalized adaptive updates and a low --power_t
{VW} -k --power_t 0.45 -f models/0002c.model train-sets/0002.dat
- train-sets/ref/0002c.stdout
train-sets/ref/0002c.stderr
# Test 8: predicts on test 7 model
{VW} -k -t -i models/0002c.model -d train-sets/0002.dat -p 0002c.predict
- test-sets/ref/0002c.stdout
test-sets/ref/0002c.stderr
pred-sets/ref/0002c.predict
@@ -698,7 +694,6 @@ __DATA__
# Test 22: matrix factorization -- training
{VW} -k -d train-sets/ml100k_small_train -b 16 -q ui --rank 10 --l2 0.001 --learning_rate 0.025 --passes 2 --decay_learning_rate 0.97 --power_t 0 -f movielens.reg --cache_file movielens.cache --loss_function classic --holdout_off
- train-sets/ref/ml100k_small.stdout
train-sets/ref/ml100k_small.stderr
# Test 23: matrix factorization -- testing