From 34d621606e58adeb35aa33f8503e105189a7c0d5 Mon Sep 17 00:00:00 2001
From: Patrick Simianer <p@simianer.de>
Date: Fri, 8 Apr 2016 23:19:28 +0200
Subject: latest stuff

---
 fast_test.rb           | 26 ++++++++++++++++++++
 rerank.rb              |  2 +-
 rerank_output_lists.rb | 48 ++++++++++++++++++++++++++++++++++++
 test_n_learn.rb        | 32 ++++++++++++++++++++++++
 voted_rerank.rb        | 67 ++++++++++++++++++++++++++++++++++++++++++++++++++
 5 files changed, 174 insertions(+), 1 deletion(-)
 create mode 100755 fast_test.rb
 create mode 100755 rerank_output_lists.rb
 create mode 100755 test_n_learn.rb
 create mode 100755 voted_rerank.rb

diff --git a/fast_test.rb b/fast_test.rb
new file mode 100755
index 0000000..23f7edf
--- /dev/null
+++ b/fast_test.rb
@@ -0,0 +1,26 @@
+#!/usr/bin/env ruby
+
+require 'zipf'
+
+STDERR.write "testing...\n"
+test = []
+test_f = ReadFile.new ARGV[0]
+n = 0
+errors = 0
+w = SparseVector.from_kv ReadFile.new(ARGV[1]).read, "\t", "\n"
+while i = test_f.gets
+  x = SparseVector.from_kv(i.strip, '=', ' ')
+  m = w.dot(x)
+  if m <= 0.0
+    errors += 1
+    puts -1
+  else
+    puts 1
+  end
+  n += 1
+  STDERR.write "#{n}\n" if n%1000==0
+end
+STDERR.write " test set size = #{n}\n"
+
+STDERR.write "accuracy = #{(n-errors)/n.to_f}\n"
+
diff --git a/rerank.rb b/rerank.rb
index 095e20b..9f7233c 100755
--- a/rerank.rb
+++ b/rerank.rb
@@ -18,7 +18,7 @@ class KbestItem
   end
 end
 
-w = SparseVector.from_kv ReadFile.new(ARGV[0]).read, "\t", "\n"
+w = SparseVector.from_kv ReadFile.new(ARGV[0]).read, /\s/, "\n"
 
 def o kl
   scores = []
diff --git a/rerank_output_lists.rb b/rerank_output_lists.rb
new file mode 100755
index 0000000..22bd9ca
--- /dev/null
+++ b/rerank_output_lists.rb
@@ -0,0 +1,48 @@
+#!/usr/bin/env ruby
+
+require 'zipf'
+
+class KbestItem
+  attr_accessor :rank, :model, :rr, :gold, :f
+  def initialize s
+    a = s.split "\t"
+    @rank = a[0].to_i
+    @gold = a[1].to_f
+    @model = a[2].to_f
+    @rr    = -1.0
+    @f = SparseVector.from_kv a[3], "=", " "
+  end
+
+  def to_s
+    return "#{@model}\t#{@gold}\t#{@rank}\t#{@rr}"
+  end
+end
+
+w = SparseVector.from_kv ReadFile.new(ARGV[0]).read, "\t", "\n"
+
+def o kl, j
+  f = WriteFile.new "lists/#{j}.model"
+  g = WriteFile.new "lists/#{j}.rr"
+  kl.each { |i|
+    f.write "#{i.gold}\t#{i.model}\n"
+    g.write "#{i.gold}\t#{i.rr}\n"
+  }
+end
+
+`mkdir -p lists`
+STDERR.write "reranking..\n"
+cur = []
+k_sum = 0
+j = 0
+while line = STDIN.gets
+  item = KbestItem.new line.strip
+  item.rr = w.dot(item.f)
+  if item.rank == 0 && cur.size > 0
+    o cur, j
+    cur = []
+    j += 1
+  end
+  cur << item
+end
+o cur, j
+
diff --git a/test_n_learn.rb b/test_n_learn.rb
new file mode 100755
index 0000000..03c0cd4
--- /dev/null
+++ b/test_n_learn.rb
@@ -0,0 +1,32 @@
+#!/usr/bin/env ruby
+
+require 'zipf'
+
+STDERR.write "reading test data...\n"
+test = []
+test_f = ReadFile.new ARGV[0]
+threshold = ARGV[2].to_f
+signals = ReadFile.new(ARGV[1]).readlines_strip.map{|i| (i.to_f)>=threshold}
+n = 0
+while i = test_f.gets
+  test << SparseVector.from_kv(i.strip, '=', ' ')
+  n += 1
+  STDERR.write "#{n}\n" if n%1000==0
+end
+STDERR.write " test set size = #{test.size}\n"
+
+errors = 0
+w = SparseVector.from_kv ReadFile.new(ARGV[1]).read, "\t", "\n"
+
+test.each { |x|
+  m = w.dot(x)
+  if m <= 0.0
+    errors += 1
+    puts -1
+  else
+    puts 1
+  end
+}
+
+STDERR.write "accuracy = #{(test.size-errors)/test.size.to_f}\n"
+
diff --git a/voted_rerank.rb b/voted_rerank.rb
new file mode 100755
index 0000000..684825d
--- /dev/null
+++ b/voted_rerank.rb
@@ -0,0 +1,67 @@
+#!/usr/bin/env ruby
+
+require 'zipf'
+
+class KbestItem
+  attr_accessor :rank, :model, :rr, :gold, :f
+  def initialize s
+    a = s.split "\t"
+    @rank = a[0].to_i
+    @gold = a[1].to_f
+    @model = a[2].to_f
+    @rr    = -1.0
+    @f = SparseVector.from_kv a[3], "=", " "
+  end
+
+  def to_s
+    return "#{@model}\t#{@gold}"
+  end
+end
+
+ws = []
+cs = []
+ReadFile.readlines_strip(ARGV[0]).each { |l|
+  c, s = l.split "\t"
+  cs << c.to_i
+  next if !s||s.strip==""
+  ws << SparseVector.from_kv(s, "=", " ")
+}
+
+def sign(x)
+  if x <= 0
+    return -1.0
+  else
+    return 1.0
+  end
+end
+
+def o kl
+  scores = []
+  scores << kl.first.gold
+  kl.sort! { |i,j| j.model <=> i.model }
+  scores << kl.first.gold
+  kl.sort! { |i,j| j.rr <=> i.rr }
+  scores << kl.first.gold
+
+  puts scores.join "\t"
+end
+
+STDERR.write "reranking..\n"
+cur = []
+k_sum = 0
+j = 0
+while line = STDIN.gets
+  item = KbestItem.new line.strip
+  item.rr = 0
+  ws.each_with_index{ |w,j|
+    item.rr += sign(w.dot(x))*cs[j]
+  }
+  if item.rank == 0 && cur.size > 0
+    o cur
+    cur = []
+    j += 1
+  end
+  cur << item
+end
+o cur
+
-- 
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