dna demo tweaks

3 files changed, 4 insertions, 4 deletions

diff --git a/demo/dna/README b/demo/dna/README
index 79bfdf6e..8a10a775 100644
--- a/demo/dna/README
+++ b/demo/dna/README
@@ -20,9 +20,9 @@ Scale Learning Challenge (http://largescale.ml.tu-berlin.de/summary/).
       results in APR of 0.512
 
   * make dnann.perf
-      as above but with additionally 4 neural network nodes
+      as above but with additionally 1 neural network hidden node 
       slower (by circa 60 seconds) but better
-      results in APR of 0.522
+      results in APR of 0.532
 
   * make dnasmash.perf
       as above but builds a better model
diff --git a/demo/dna/do-dnann-multicore-train b/demo/dna/do-dnann-multicore-train
index ef0d127b..d93a6122 100755
--- a/demo/dna/do-dnann-multicore-train
+++ b/demo/dna/do-dnann-multicore-train
@@ -6,7 +6,7 @@ learner() {
      --loss_function logistic                                           \
      -b 18 -l 0.06 --adaptive --invariant                               \
      --total $2 --node $1 --unique_id 0 --span_server localhost         \
-     --nn 4 --inpass
+     --nn 1 --inpass
 }
 
 set -e
diff --git a/demo/dna/do-dnasmash-multicore-train b/demo/dna/do-dnasmash-multicore-train
index 38c9b08b..443c5dc7 100755
--- a/demo/dna/do-dnasmash-multicore-train
+++ b/demo/dna/do-dnasmash-multicore-train
@@ -5,7 +5,7 @@ learner() {
   ../../vowpalwabbit/vw -f dnasmash.model.$1                            \
      --loss_function logistic                                           \
      --compressed --cache_file dnacache.$1                              \
-     -b 18 -l 0.06 --adaptive --invariant --passes 10                   \
+     -b 20 -l 0.06 --adaptive --invariant --passes 10                   \
      --total $2 --node $1 --unique_id 0 --span_server localhost         \
      --nn 4 --inpass
 }