class ESBI::Naive_Bayes
Learning Model
Public Class Methods
agent()
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# File lib/ESBI.rb, line 194 def self.agent require "naive_bayes" a = NaiveBayes.load('data/baysian/agent.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] end
baysian_seed()
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# File lib/ESBI.rb, line 9 def self.baysian_seed old_greeting = File.read("data/baysian/archive/greeting_archive.txt") old_agent = File.read("data/baysian/archive/agent_archive.txt") old_request = File.read("data/baysian/archive/request_archive.txt") old_gender = File.read("data/baysian/archive/gender_archive.txt") old_object = File.read("data/baysian/archive/object_archive.txt") old_for_from = File.read("data/baysian/archive/for_from_archive.txt") old_direction = File.read("data/baysian/archive/direction_archive.txt") print "Train greeting evaluator on >> "; greeting = gets.chomp print "Train agent on evaluator >> "; agent = gets.chomp print "Train request evaluator on >> "; request = gets.chomp print "Train gender evaluator on >> "; gender = gets.chomp print "Train object evaluator on >> "; object = gets.chomp print "Train for_from evaluator on >> "; for_from = gets.chomp print "Train direction evaluator on >> "; direction = gets.chomp create_regimen = "def greeting_trainer require 'naive_bayes' a = NaiveBayes.new(:greeting, :farewell) a.db_filepath = 'data/baysian/greeting.nb' #{old_greeting} #{greeting} a.save end def agent_trainer require 'naive_bayes' a = NaiveBayes.new(:inheritor, :notinheritor) a.db_filepath = 'data/baysian/agent.nb' #{old_agent} #{agent} a.save end def request_trainer require 'naive_bayes' a = NaiveBayes.new(:request, :demand) a.db_filepath = 'data/baysian/request.nb' #{old_request} #{request} a.save end def gender_trainer require 'naive_bayes' a = NaiveBayes.new(:masculine, :feminine, :neuter) a.db_filepath = 'data/baysian/gender.nb' #{old_gender} #{gender} a.save end def object_trainer require 'naive_bayes' a = NaiveBayes.new(:object, :abstract) a.db_filepath = 'data/baysian/object.nb' #{old_object} #{object} a.save end def for_from_trainer require 'naive_bayes' a = NaiveBayes.new(:for, :from) a.db_filepath = 'data/baysian/for_from.nb' #{old_for_from} #{for_from} a.save end def direction_trainer require 'naive_bayes' a = NaiveBayes.new(:standard, :nonstandard) a.db_filepath = 'data/baysian/directions.nb' #{old_direction} #{direction} a.save end greeting_trainer agent_trainer request_trainer gender_trainer object_trainer for_from_trainer direction_trainer " open("script.rb", "w") { |f| f.puts create_regimen } open("data/baysian/archive/greeting_archive.txt", "w") { |f| f.puts " #{old_greeting}" f.puts " #{greeting}" } open("data/baysian/archive/agent_archive.txt", "w") { |f| f.puts " #{old_agent}" f.puts " #{agent}" } open("data/baysian/archive/request_archive.txt", "w") { |f| f.puts " #{old_request}" f.puts " #{request}" } open("data/baysian/archive/gender_archive.txt", "w") { |f| f.puts " #{old_gender}" f.puts " #{gender}" } open("data/baysian/archive/object_archive.txt", "w") { |f| f.puts " #{old_object}" f.puts " #{object}" } open("data/baysian/archive/for_from_archive.txt", "w") { |f| f.puts " #{old_for_from}" f.puts " #{for_from}" } open("data/baysian/archive/direction_archive.txt", "w") { |f| f.puts " #{old_direction}" f.puts " #{direction}" } system("ruby script.rb") end
direction()
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# File lib/ESBI.rb, line 279 def self.direction require "naive_bayes" a = NaiveBayes.load('data/baysian/direction.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] puts "." end
evaluate()
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# File lib/ESBI.rb, line 176 def self.evaluate def self.greeting require "naive_bayes" a = NaiveBayes.load('data/baysian/greeting.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] end def self.agent require "naive_bayes" a = NaiveBayes.load('data/baysian/agent.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] end def self.request require "naive_bayes" a = NaiveBayes.load('data/baysian/request.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] end def self.gender require "naive_bayes" a = NaiveBayes.load('data/baysian/gender.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] end def self.object require "naive_bayes" a = NaiveBayes.load('data/baysian/object.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] end def self.for_from require "naive_bayes" a = NaiveBayes.load('data/baysian/for_from.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] end def self.direction require "naive_bayes" a = NaiveBayes.load('data/baysian/direction.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] puts "." end ESBI::Naive_Bayes.evaluate.greeting ESBI::Naive_Bayes.evaluate.agent ESBI::Naive_Bayes.evaluate.request ESBI::Naive_Bayes.evaluate.gender ESBI::Naive_Bayes.evaluate.object ESBI::Naive_Bayes.evaluate.for_from ESBI::Naive_Bayes.evaluate.direction end
for_from()
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# File lib/ESBI.rb, line 262 def self.for_from require "naive_bayes" a = NaiveBayes.load('data/baysian/for_from.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] end
gender()
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# File lib/ESBI.rb, line 228 def self.gender require "naive_bayes" a = NaiveBayes.load('data/baysian/gender.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] end
greeting()
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# File lib/ESBI.rb, line 177 def self.greeting require "naive_bayes" a = NaiveBayes.load('data/baysian/greeting.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] end
object()
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# File lib/ESBI.rb, line 245 def self.object require "naive_bayes" a = NaiveBayes.load('data/baysian/object.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] end
request()
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# File lib/ESBI.rb, line 211 def self.request require "naive_bayes" a = NaiveBayes.load('data/baysian/request.nb') # b = File.read("data/input/document.txt").split(' ') number = File.read("data/input/number.txt").strip.to_i input = File.read("data/input/input.txt") b = input[number].downcase.split(" ") classification = a.classify(*b) print classification[0] end