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| author | John Langford <jl@hunch.net> | 2013-11-16 20:19:15 +0400 |
|---|---|---|
| committer | John Langford <jl@hunch.net> | 2013-11-16 20:19:15 +0400 |
| commit | 9ce719f811a0687a7371ec5e661742e8efbfc87f (patch) | |
| tree | 005e02811bd348f5b90261f3d8c53e782bd75062 /test/RunTests | |
| parent | 0da03c24d8396fdc8b4af4b6ca4081bcc108dfe4 (diff) | |
| parent | bcba0673af40f44b0113088593fcba2878425e5b (diff) | |
fixed merge
Diffstat (limited to 'test/RunTests')
| -rwxr-xr-x | test/RunTests | 19 |
1 files changed, 11 insertions, 8 deletions
diff --git a/test/RunTests b/test/RunTests index 75e43f7e..b13ebdb7 100755 --- a/test/RunTests +++ b/test/RunTests @@ -286,7 +286,7 @@ sub lenient_array_compare($$) { sub diff_lenient_float($$) { my ($reffile, $outfile) = @_; my $status = 0; - my $diff_opts = '-N --minimal --side-by-side --suppress-common-lines --ignore-all-space --strip-trailing-cr'; + my $diff_opts = '-N --minimal --side-by-side --suppress-common-lines --ignore-all-space --strip-trailing-cr -W 200'; my $tmpf = 'lenient-diff.tmp'; system("$Diff $diff_opts $reffile $outfile >$tmpf"); $status = $? >> 8; @@ -695,13 +695,10 @@ __DATA__ test-sets/ref/ml100k_small.stderr # Test 24: active-learning -- training -# Output should make sense, in particular, shouldn't have 'total queries = 0' -# (regression introduced May 13, 2013) {VW} -k --active_simulation --active_mellowness 0.000001 -d train-sets/rcv1_small.dat -l 10 --initial_t 10 train-sets/ref/active-simulation.t24.stderr # Test 25: bagging -- training regressor -#{VW} -d train-sets/0002.dat -f models/bs.model --bs 4 -p train-sets/ref/bs.predict > train-sets/ref/bs.stdout 2> train-sets/ref/bs.stderr {VW} -d train-sets/0002.dat -f models/bs.reg.model --bs 4 -p bs.reg.predict train-sets/ref/bs.reg.stdout train-sets/ref/bs.reg.stderr @@ -732,13 +729,19 @@ __DATA__ # Test 30: train --l1 regularized model {VW} -d train-sets/0001.dat -f models/mask.model --invert_hash mask.predict --l1 0.01 - train-sets/ref/mask.stdout train-sets/ref/mask.stderr - train-sets/ref/mask.predict # Test 31: train model using --feature_mask {VW} -d train-sets/0001.dat --invert_hash remask.predict --feature_mask models/mask.model - train-sets/ref/remask.stdout train-sets/ref/remask.stderr - train-sets/ref/remask.predict +# Test 32: train model for topk recommender +{VW} -d train-sets/topk.vw -f topk.model -q MF --passes 100 --cache_file topk-train.cache -k --holdout_off + train-sets/ref/topk-train.stdout + train-sets/ref/topk-train.stderr + +# Test 33: train model for topk recommender +{VW} -d train-sets/topk.vw -i topk.model --top 2 -p topk.predict + train-sets/ref/topk-rec.stdout + train-sets/ref/topk-rec.stderr + train-sets/ref/topk-rec.predict |