Class: ESBI::Naive_Bayes
- Inherits:
-
Object
- Object
- ESBI::Naive_Bayes
- Defined in:
- lib/ESBI.rb
Overview
Learning Model
Class Method Summary collapse
- .agent ⇒ Object
- .baysian_seed ⇒ Object
- .direction ⇒ Object
- .evaluate ⇒ Object
- .for_from ⇒ Object
- .gender ⇒ Object
- .greeting ⇒ Object
- .object ⇒ Object
- .request ⇒ Object
Class Method Details
.agent ⇒ Object
194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 |
# 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 ⇒ Object
9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 |
# 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 ⇒ Object
279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 |
# 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 ⇒ Object
176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 |
# 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 ⇒ Object
262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 |
# 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 ⇒ Object
228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 |
# 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 ⇒ Object
177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 |
# 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 ⇒ Object
245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 |
# 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 ⇒ Object
211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 |
# 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 |