module Lazar
    
  # Classification algorithms
  class Classification
    
    # Weighted majority vote
    # @param [Array<0,1>] dependent_variables
    # @param [Array<Float>] weights
    # @return [Hash]
    def self.weighted_majority_vote dependent_variables:, weights:
      w = []
      w[0] = weights.each_index.select{|i| dependent_variables[i] == 0}.collect{|i| weights[i]}
      w[1] = weights.each_index.select{|i| dependent_variables[i] == 1}.collect{|i| weights[i]}
      weights_sum = weights.sum.to_f
      weights_max = weights.max.to_f
      probabilities = []
      probabilities[0] = weights_max*w[0].sum/weights_sum
      probabilities[1] = weights_max*w[1].sum/weights_sum
      probabilities
    end

  end
end