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 if RUBY_VERSION.split(".")[0].to_i >= 3 orig_seed = Random.seed else orig_seed = Random::DEFAULT.seed end 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 |