Module: DNN::Iris

Defined in:
lib/dnn/datasets/iris.rb

Constant Summary collapse

URL_CSV = 
"https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data"
SETOSA =

Iris-setosa

0
VERSICOLOR =

Iris-versicolor

1
VIRGINICA =

Iris-virginica

2

Class Method Summary collapse

Class Method Details

.downloads ⇒ Object 



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# File 'lib/dnn/datasets/iris.rb', line 17

def self.downloads
  return if File.exist?(url_to_file_name(URL_CSV))
  Downloader.download(URL_CSV)
end

.load(shuffle = false, shuffle_seed = rand(1 << 31)) ⇒ Object 



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# File 'lib/dnn/datasets/iris.rb', line 22

def self.load(shuffle = false, shuffle_seed = rand(1 << 31))
  downloads
  csv_array = CSV.read(url_to_file_name(URL_CSV)).reject(&:empty?)
  x = Numo::SFloat.zeros(csv_array.length, 4)
  y = Numo::SFloat.zeros(csv_array.length)
  csv_array.each.with_index do |(sepal_length, sepal_width, petal_length, petal_width, classes), i|
    x[i, 0] = sepal_length.to_f
    x[i, 1] = sepal_width.to_f
    x[i, 2] = petal_length.to_f
    x[i, 3] = petal_width.to_f
    y[i] = case classes
           when "Iris-setosa"
             SETOSA
           when "Iris-versicolor"
             VERSICOLOR
           when "Iris-virginica"
             VIRGINICA
           else
             raise DNN_Iris_LoadError, "Unknown class name '#{classes}' for iris"
    end
  end
  if shuffle
    orig_seed = Random::DEFAULT.seed
    srand(shuffle_seed)
    indexs = (0...csv_array.length).to_a.shuffle
    x[indexs, true] = x
    y[indexs] = y
    srand(orig_seed)
  end
  [x, y]
end