Contents

# This class manages input datas and output datas together.
class DNN::Dataset
  # @param [Numo::SFloat] x_datas input datas.
  # @param [Numo::SFloat] y_datas output datas.
  # @param [Bool] random Set true to return batches randomly. Setting false returns batches in order of index.
  def initialize(x_datas, y_datas, random = true)
    @x_datas = x_datas
    @y_datas = y_datas
    @random = random
    @num_datas = x_datas.shape[0]
    reset_indexs
  end

  # Return the next batch.
  # If the number of remaining data < batch size, if random = true, shuffle the data again and return a batch.
  # If random = false, all remaining data will be returned regardless of the batch size.
  def next_batch(batch_size)
    if @indexes.length < batch_size
      batch_indexes = @indexes unless @random
      reset_indexs
      batch_indexes = @indexes.shift(batch_size) if @random
    else
      batch_indexes = @indexes.shift(batch_size)
    end
    x_batch = @x_datas[batch_indexes, false]
    y_batch = @y_datas[batch_indexes, false]
    [x_batch, y_batch]
  end

  private def reset_indexs
    @indexes = @num_datas.times.to_a
    @indexes.shuffle! if @random
  end
end

Version data entries

3 entries across 3 versions & 1 rubygems

Version	Path
ruby-dnn-0.10.4	lib/dnn/core/dataset.rb
ruby-dnn-0.10.3	lib/dnn/core/dataset.rb
ruby-dnn-0.10.2	lib/dnn/core/dataset.rb