rm old code

1 files changed, 0 insertions, 81 deletions

diff --git a/perceptron-new.rb b/perceptron-new.rb
deleted file mode 100755
index 1c8a76c..0000000
--- a/perceptron-new.rb
+++ /dev/null
@@ -1,81 +0,0 @@
-#!/usr/bin/env ruby
-
-require 'zipf'
-
-STDERR.write "reading training data...\n"
-train = []
-train_f = ReadFile.new ARGV[0]
-n = 0
-while i = train_f.gets
-  train << SparseVector.from_kv(i.strip, '=', ' ')
-  n += 1
-  STDERR.write "#{n}\n" if n%1000==0
-end
-STDERR.write " training set size = #{train.size}\n"
-
-prev_loss = Float::MAX # converged?
-T = 1000000            # max number of iterations
-t = 0
-w = SparseVector.new   # 0 vector
-no_change = 0
-save_freq = 1
-if ARGV[1]
-  save_freq = ARGV[1].to_i
-end
-
-while true
-
-  if t == T
-    STDERR.write "\nreached max. number of iterations!\n"
-    break
-  end
-
-  STDERR.write "\niteration #{t}\n"
-
-  train.shuffle!
-  loss = 0.0
-  errors = 0
-  j = 1
-
-  train.each { |x|
-    m = w.dot(x)
-    if m <= 0.0
-      loss += m.abs
-      errors += 1
-      w += x
-    end
-    STDERR.write '.'  if j%10==0
-    STDERR.write "\n" if j%1000==0
-    j += 1
-  }
-
-  STDERR.write "errors = #{errors} (avg = #{(errors/train.size.to_f).round 2}), loss = #{loss.round 2} (avg = #{(loss/train.size).round 2})\n"
-
-  if (loss.abs-prev_loss.abs).abs <= 10**-4
-    no_change += 1
-  else
-    no_change = 0
-  end
-  if no_change == 3
-    STDERR.write "\nno change in loss since three iterations (difference < 10**-4)!\n"
-    break
-  end
-  prev_loss = loss
-
-  if t%save_freq == 0
-    STDERR.write "\nwriting model to model.#{t}.gz ...\n"
-    f = WriteFile.new "model.#{t}.gz"
-    f.write w.to_kv("\t", "\n")+"\n"
-    f.close
-    STDERR.write "done!\n"
-  end
-
-  t += 1
-end
-
-STDERR.write "\nwriting model to model.final.gz ...\n"
-f = WriteFile.new "model.final.gz"
-f.write w.to_kv("\t", "\n")+"\n"
-f.close
-STDERR.write "done!\n"
-