4 files changed, 3941 insertions, 3 deletions

diff --git a/dtrain/README.md b/dtrain/README.md
index 32dafade..91cf0704 100644
--- a/dtrain/README.md
+++ b/dtrain/README.md
@@ -398,3 +398,12 @@ forest vs kbest count vocab?
 approx bleu
 
 
+
+
+---
+re-iterate ruleids
+r_
+10s
+p30
+stopwords
+gillespie wtf
diff --git a/dtrain/binning.rb b/dtrain/binning.rb
new file mode 100755
index 00000000..674f3246
--- /dev/null
+++ b/dtrain/binning.rb
@@ -0,0 +1,35 @@
+bins = []
+bin_sz = 0
+1.upto(3).each { |i|
+  bin_sz = STDIN.gets.strip.split(",")[1].to_i 
+  bins.push [[i], bin_sz]
+}
+
+cur_bin = []
+cur_bin_sz = 0
+while line = STDIN.gets
+  count, countcount = line.strip.split ","
+  count = count.to_i
+  countcount = countcount.to_i
+  if (cur_bin_sz + countcount) > bin_sz 
+    bins.push [cur_bin, cur_bin_sz]
+    cur_bin = []
+    cur_bin_sz = countcount
+  else
+    cur_bin.push count
+    cur_bin_sz += countcount
+  end
+end
+bins.push [cur_bin, cur_bin_sz]
+
+c = 0
+e = 0
+bins.each { |i|
+  puts "#{e} | #{i[0].size}: #{i[0][0]}.. #{i[1]}" if i[0].size > 0
+  c += 1 if i[0].size > 0
+  e += 1
+}
+puts "#{c} bins (#{bins.size})"
+puts "bin sz #{bin_sz}"
+
+
diff --git a/dtrain/countofcounts b/dtrain/countofcounts
new file mode 100644
index 00000000..8752b430
--- /dev/null
+++ b/dtrain/countofcounts
@@ -0,0 +1,3894 @@
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diff --git a/dtrain/test/example/dtrain.ini b/dtrain/test/example/dtrain.ini
index cc9e6d4d..ed1b7e5f 100644
--- a/dtrain/test/example/dtrain.ini
+++ b/dtrain/test/example/dtrain.ini
@@ -4,10 +4,10 @@ decoder_config=test/example/cdec.ini # a ini for cdec
 # these will be printed on each iteration
 print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough
 tmp=/tmp
-#stop_after=10
+stop_after=20
 
 # interesting stuff
-epochs=10
+epochs=1
 k=100
 N=4
 learning_rate=0.0001
@@ -16,5 +16,5 @@ scorer=stupid_bleu
 sample_from=kbest
 filter=uniq
 pair_sampling=108010
-pair_threshold=0
+pair_threshold=0.01
 select_weights=last