diff options
Diffstat (limited to 'lin_reg')
| -rwxr-xr-x | lin_reg | 12 |
1 files changed, 6 insertions, 6 deletions
@@ -24,7 +24,7 @@ def read_data fn, scale end def main - cfg = Trollop::options do + conf = Trollop::options do opt :input, "input data", :type => :string, :required => true opt :output, "output data", :type => :string, :required => true opt :learning_rate, "learning rate", :type => :float, :default => 0.07 @@ -32,9 +32,9 @@ def main opt :scale_features,"scale features", :type => :bool, :default => false, :short => '-t' opt :show_loss, "show loss per iter", :type => :bool, :default => false end - data = read_data cfg[:input], cfg[:scale_features] + data = read_data conf[:input], conf[:scale_features] zeros = [0.0]*data[0].size - t = ReadFile.readlines(cfg[:output]).map{ |i| i.to_f } + t = ReadFile.readlines(conf[:output]).map{ |i| i.to_f } model = SparseVector.new zeros stop = 0 prev_model = nil @@ -48,15 +48,15 @@ def main overall_loss += loss**2 u += x * loss } - STDERR.write "#{i} #{overall_loss/data.size}\n" if cfg[:show_loss] - u *= cfg[:learning_rate]*(1.0/t.size) + STDERR.write "#{i} #{overall_loss/data.size}\n" if conf[:show_loss] + u *= conf[:learning_rate]*(1.0/t.size) model -= u if model.approx_eql? prev_model stop += 1 else stop = 0 end - break if stop==cfg[:stop] + break if stop==conf[:stop] prev_model = model end tss = t.map{ |y| (y-t.mean)**2 }.sum |