Class: MultinomialNaiveBayes::Classifier
- Inherits:
-
Object
- Object
- MultinomialNaiveBayes::Classifier
- Defined in:
- lib/multinomial_naive_bayes/classifier.rb
Instance Method Summary collapse
- #all_ln_categories_probabilities(vector) ⇒ Object
- #classify(vector) ⇒ Object
-
#initialize(categories_summaries, categories_probabilities) ⇒ Classifier
constructor
A new instance of Classifier.
- #ln_category_probability(vector, category) ⇒ Object
- #max_ln_category_probability(vector) ⇒ Object
Constructor Details
#initialize(categories_summaries, categories_probabilities) ⇒ Classifier
Returns a new instance of Classifier.
3 4 5 6 |
# File 'lib/multinomial_naive_bayes/classifier.rb', line 3 def initialize(categories_summaries, categories_probabilities) @categories_summaries = categories_summaries @categories_probabilities = categories_probabilities end |
Instance Method Details
#all_ln_categories_probabilities(vector) ⇒ Object
19 20 21 22 23 24 |
# File 'lib/multinomial_naive_bayes/classifier.rb', line 19 def all_ln_categories_probabilities(vector) @categories_summaries.keys.inject({}) do |map, category| map[category] = ln_category_probability(vector, category) map end end |
#classify(vector) ⇒ Object
8 9 10 |
# File 'lib/multinomial_naive_bayes/classifier.rb', line 8 def classify(vector) max_ln_category_probability(vector)[0] end |
#ln_category_probability(vector, category) ⇒ Object
26 27 28 29 30 31 32 |
# File 'lib/multinomial_naive_bayes/classifier.rb', line 26 def ln_category_probability(vector, category) sum = 0 vector.each_with_index do |feature_value, feature| sum += Math.log(@categories_summaries[category][feature]**feature_value) end sum + Math.log(@categories_probabilities[category]) end |
#max_ln_category_probability(vector) ⇒ Object
12 13 14 15 16 17 |
# File 'lib/multinomial_naive_bayes/classifier.rb', line 12 def max_ln_category_probability(vector) all_ln_categories_probabilities(vector). to_a. sort_by{|ln_category_probability| -ln_category_probability[1]}. first end |