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This gem provides a naive bayes classifier for models with N features. Simply put given examples of pre-defined categories the classifier learns how to classify new unknown examples.
Classifier can be used in three steps:
Provide category names and its respective training set
Train classifier with provided categories
Classify models
For instance the example below shows how to classify words in categories test_a and test_b. Taking in consideration the number of occurrences of each word in both categories besides the frequency of the category the classifier returns the most probable category for the given collection of features.
require 'nb_class/classifier'
# 1 - Providing examples
classifier = NBClass::Classifier.new
classifier.not_spam << "Hi Joe, how are you?"
classifier.spam << "Buy products you don't need"
# 2 - Train classifier
classifier.train
# 3 - Classify new examples
classifier.classify("Hi James, are you going?") # => not_spam
classifier.classify("Buy not needed product") # => spam
git checkout -b my-new-feature
)git commit -am 'Add some feature'
)git push origin my-new-feature
)FAQs
Unknown package
We found that nb_class demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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