Class: DynamicTree::Sprout

Inherits:
Object
  • Object
show all
Defined in:
lib/dynamicTree.rb

Overview

Train on one example set for eight factors.

Class Method Summary collapse

Class Method Details

.age_examples ⇒ Object 



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# File 'lib/dynamicTree.rb', line 46

def self.age_examples
  input = File.read("data/number/input.txt").strip.to_i

  counter = File.readlines("data/biometrics/ages/ages.txt").size.to_i
  safety_reset = counter - 1

  # Safety Reset
  if input > safety_reset
    input = 0
  end

  training_examples = File.readlines("data/biometrics/ages/ages.txt")

  current_biometric = training_examples[input]

  puts current_biometric
end

.attribute_trigger ⇒ Object

Decision tree that uses one biometric in isolation.



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# File 'lib/dynamicTree.rb', line 173

def self.attribute_trigger
  input = File.read("data/number/input.txt").strip.to_i

  # Safety Reset
  if input > 8
    input = 0
  end

  attributes = [
    "Name",      "ID",        "Age",
    "Height",    "Weight",    "Hair Color",
    "Eye Color", "Skin Tone", "Relationship",
  ]

  set_attribute = attributes[input]

  print "#{set_attribute}: "

  if    set_attribute ==         "Name"; DynamicTree::Sprout.name_examples
  elsif set_attribute ==           "ID"; DynamicTree::Sprout.id_examples
  elsif set_attribute ==          "Age"; DynamicTree::Sprout.age_examples
  elsif set_attribute ==       "Height"; DynamicTree::Sprout.height_examples
  elsif set_attribute ==       "Weight"; DynamicTree::Sprout.weight_examples
  elsif set_attribute ==   "Hair Color"; DynamicTree::Sprout.hair_color_examples
  elsif set_attribute ==    "Eye Color"; DynamicTree::Sprout.eye_color_examples
  elsif set_attribute ==    "Skin Tone"; DynamicTree::Sprout.skin_tone_examples
  elsif set_attribute == "Relationship"; DynamicTree::Sprout.relationship_examples
  end
end

.eye_color_examples ⇒ Object 



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# File 'lib/dynamicTree.rb', line 118

def self.eye_color_examples
  input = File.read("data/number/input.txt").strip.to_i

  counter = File.readlines("data/biometrics/eye_colors/eye_colors.txt").size.to_i
  safety_reset = counter - 1

  # Safety Reset
  if input > safety_reset
    input = 0
  end

  training_examples = File.readlines("data/biometrics/eye_colors/eye_colors.txt")

  current_biometric = training_examples[input]

  puts current_biometric
end

.hair_color_examples ⇒ Object 



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# File 'lib/dynamicTree.rb', line 100

def self.hair_color_examples
  input = File.read("data/number/input.txt").strip.to_i

  counter = File.readlines("data/biometrics/hair_colors/hair_colors.txt").size.to_i
  safety_reset = counter - 1

  # Safety Reset
  if input > safety_reset
    input = 0
  end

  training_examples = File.readlines("data/biometrics/hair_colors/hair_colors.txt")

  current_biometric = training_examples[input]

  puts current_biometric
end

.height_examples ⇒ Object 



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# File 'lib/dynamicTree.rb', line 64

def self.height_examples
  input = File.read("data/number/input.txt").strip.to_i

  counter = File.readlines("data/biometrics/heights/heights.txt").size.to_i
  safety_reset = counter - 1

  # Safety Reset
  if input > safety_reset
    input = 0
  end

  training_examples = File.readlines("data/biometrics/heights/heights.txt")

  current_biometric = training_examples[input]

  puts current_biometric
end

.id_examples ⇒ Object 



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# File 'lib/dynamicTree.rb', line 28

def self.id_examples
  input = File.read("data/number/input.txt").strip.to_i

  counter = File.readlines("data/biometrics/id_numbers/id_numbers.txt").size.to_i
  safety_reset = counter - 1

  # Safety Reset
  if input > safety_reset
    input = 0
  end

  training_examples = File.readlines("data/biometrics/id_numbers/id_numbers.txt")

  current_biometric = training_examples[input]

  puts current_biometric
end

.initialize_tree ⇒ Object

Decision tree that uses one biometric in isolation.



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# File 'lib/dynamicTree.rb', line 204

def self.initialize_tree
  puts "__Profile__"
  DynamicTree::Sprout.name_examples
  DynamicTree::Sprout.id_examples
  DynamicTree::Sprout.age_examples
  DynamicTree::Sprout.height_examples
  DynamicTree::Sprout.weight_examples
  DynamicTree::Sprout.hair_color_examples
  DynamicTree::Sprout.eye_color_examples
  DynamicTree::Sprout.skin_tone_examples
  DynamicTree::Sprout.relationship_examples

  DynamicTree::Sprout.attribute_trigger
end

.name_examples ⇒ Object

These are the different sets of training examples. In this algorithm, each attribute has different training examples.



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# File 'lib/dynamicTree.rb', line 10

def self.name_examples
  input = File.read("data/number/input.txt").strip.to_i

  counter = File.readlines("data/biometrics/names/names.txt").size.to_i
  safety_reset = counter - 1

  # Safety Reset
  if input > safety_reset
    input = 0
  end

  training_examples = File.readlines("data/biometrics/names/names.txt")

  current_biometric = training_examples[input]

  puts current_biometric
end

.relationship_examples ⇒ Object 



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# File 'lib/dynamicTree.rb', line 154

def self.relationship_examples
  input = File.read("data/number/input.txt").strip.to_i

  counter = File.readlines("data/biometrics/relationships/relationships.txt").size.to_i
  safety_reset = counter - 1

  # Safety Reset
  if input > safety_reset
    input = 0
  end

  training_examples = File.readlines("data/biometrics/relationships/relationships.txt")

  current_biometric = training_examples[input]

  puts current_biometric
end

.skin_tone_examples ⇒ Object 



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# File 'lib/dynamicTree.rb', line 136

def self.skin_tone_examples
  input = File.read("data/number/input.txt").strip.to_i

  counter = File.readlines("data/biometrics/skin_tones/skin_tones.txt").size.to_i
  safety_reset = counter - 1

  # Safety Reset
  if input > safety_reset
    input = 0
  end

  training_examples = File.readlines("data/biometrics/skin_tones/skin_tones.txt")

  current_biometric = training_examples[input]

  puts current_biometric
end

.weight_examples ⇒ Object 



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# File 'lib/dynamicTree.rb', line 82

def self.weight_examples
  input = File.read("data/number/input.txt").strip.to_i

  counter = File.readlines("data/biometrics/weights/weights.txt").size.to_i
  safety_reset = counter - 1

  # Safety Reset
  if input > safety_reset
    input = 0
  end

  training_examples = File.readlines("data/biometrics/weights/weights.txt")

  current_biometric = training_examples[input]

  puts current_biometric
end