Class: Daimond::Utils::TrainingLogger

Inherits:
Object
  • Object
show all
Defined in:
lib/daimond/utils/training_logger.rb

Instance Method Summary collapse

Constructor Details

#initialize(filename = 'training_log.csv') ⇒ TrainingLogger

Returns a new instance of TrainingLogger.



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# File 'lib/daimond/utils/training_logger.rb', line 6

def initialize(filename = 'training_log.csv')
  @filename = filename
  @history = []
  @start_time = Time.now

  CSV.open(@filename, 'w') do |csv|
    csv << ['epoch', 'loss', 'accuracy', 'time_elapsed']
  end
end

Instance Method Details

#log(epoch, loss, accuracy) ⇒ Object 



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# File 'lib/daimond/utils/training_logger.rb', line 16

def log(epoch, loss, accuracy)
  elapsed = Time.now - @start_time
  @history << {epoch: epoch, loss: loss, accuracy: accuracy, time: elapsed}

  CSV.open(@filename, 'a') do |csv|
    csv << [epoch, loss, accuracy, elapsed.round(2)]
  end
end

#plot_accuracy(width: 60, height: 10) ⇒ Object 



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# File 'lib/daimond/utils/training_logger.rb', line 58

def plot_accuracy(width: 60, height: 10)
  return if @history.empty?

  accs = @history.map { |h| h[:accuracy] }
  min_acc = [accs.min, 0].min
  max_acc = [accs.max, 100].max
  range = max_acc - min_acc
  range = 100 if range == 0

  puts "\nšŸ“ˆ Accuracy Curve:"
  puts "-" * (width + 10)

  height.times do |row|
    y_val = min_acc + ((height - row) * range / height)
    line = sprintf("%6.1f%%|", y_val)
    line = line.ljust(width + 9)  # <-- Š’Š°Š¶Š½Š¾!

    @history.each_with_index do |h, i|
      x_pos = (i * (width - 1) / [@history.size - 1, 1].max).to_i
      idx = 8 + x_pos

      if idx < line.length && (h[:accuracy] - y_val).abs < (range / height / 2)
        line[idx] = "ā˜…"
      end
    end

    puts line
  end

  puts "       +" + "-" * width
  puts "       Epoch: 1" + " " * (width - 10) + "#{@history.size}"
end

#plot_loss(width: 60, height: 10) ⇒ Object 



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# File 'lib/daimond/utils/training_logger.rb', line 25

def plot_loss(width: 60, height: 10)
  return if @history.empty?

  losses = @history.map { |h| h[:loss] }
  min_loss = losses.min
  max_loss = losses.max
  range = max_loss - min_loss
  range = 1.0 if range == 0

  puts "\nšŸ“‰ Loss Curve:"
  puts "-" * (width + 10)

  height.times do |row|
    y_val = max_loss - (row * range / height)
    line = sprintf("%6.3f |", y_val)
    line = line.ljust(width + 9)  # <-- Š’Š°Š¶Š½Š¾!

    @history.each_with_index do |h, i|
      x_pos = (i * (width - 1) / [@history.size - 1, 1].max).to_i
      idx = 8 + x_pos

      if idx < line.length && (h[:loss] - y_val).abs < (range / height / 2)
        line[idx] = "ā—"
      end
    end

    puts line
  end

  puts "       +" + "-" * width
  puts "       Epoch: 1" + " " * (width - 10) + "#{@history.size}"
end

#summary ⇒ Object 



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# File 'lib/daimond/utils/training_logger.rb', line 91

def summary
  return if @history.empty?

  first = @history.first
  last = @history.last

  puts "\nšŸ“Š Training Summary:"
  puts "=" * 50
  puts "Duration:        #{(last[:time] / 60).round(1)} minutes"
  puts "Epochs:          #{last[:epoch]}"
  puts "Initial Loss:    #{first[:loss].round(4)}"
  puts "Final Loss:      #{last[:loss].round(4)}"
  puts "Initial Acc:     #{first[:accuracy].round(2)}%"
  puts "Final Acc:       #{last[:accuracy].round(2)}%"
  puts "Improvement:     +#{(last[:accuracy] - first[:accuracy]).round(2)}%"
  puts "=" * 50
  puts "Log saved to:    #{@filename}"
end