example.rb

require './ml_delta'

delta                   = MLDelta.new
delta.active_method 	= MLActiveMethod::TANH
delta.learning_rate 	= 0.8
delta.convergence_value = 0.001
delta.max_iteration 	= 1000
delta.add_patterns([1.0, -2.0, 0.0, -1.0], -1.0)
delta.add_patterns([0.0, 1.5, -0.5, -1.0], 1.0)
delta.setup_weights([1.0, -1.0, 0.0, 0.5])
#delta.setup_random_scopes(-0.5, 0.5)
#delta.random_weights()

iteration_block = Proc.new do |iteration, weights|
  puts "iteration : #{iteration}, weights : #{weights}"
end

completion_block = Proc.new do |success, weights, total_iteration|
  puts "success : #{success}, weights : #{weights}, total_iteration : #{total_iteration}"
  delta.direct_output_by_patterns [1.0, -2.0, 0.0, -1.0] { |predication|
    puts "predication result is #{predication}"
  }
end

delta.training_with_iteration(iteration_block, completion_block)

# delta.training_with_completion {
#   |success, weights, total_iteration|
#   puts "success : #{success}, weights : #{weights}, total_iteration : #{total_iteration}"
# }