class AdaBoost::WeakClassifier
Attributes
alpha[R]
error[RW]
feature_number[R]
split[R]
Public Class Methods
new(feature_number, split, alpha = 0.0, error = 0.0)
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# File lib/adaboost/weak_classifier.rb, line 8 def initialize(feature_number, split, alpha = 0.0, error = 0.0) @feature_number = feature_number @split = split @error = error @alpha = alpha end
Public Instance Methods
classify(sample)
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# File lib/adaboost/weak_classifier.rb, line 19 def classify(sample) sample[@feature_number] > @split ? 1 : -1 end
classify_with_alpha(sample)
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# File lib/adaboost/weak_classifier.rb, line 23 def classify_with_alpha(sample) return classify(sample) * @alpha end
compute_alpha()
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# File lib/adaboost/weak_classifier.rb, line 15 def compute_alpha @alpha = 0.5 * Math.log((1.0 - @error) / @error) end
increase_error(amount)
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# File lib/adaboost/weak_classifier.rb, line 27 def increase_error(amount) @error += amount end