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module Query # Calculates weights for certain combinations. # class Weights # # def initialize weights = {} @weights_cache = {} @weights = prepare weights end # Get the category indexes for the given bonuses. # def prepare weights weights end # Get the weight of an allocation. # def weight_for clustered @weights[clustered] || 0 end # Returns an energy term E for allocation. this turns into a probability # by P(allocation) = 1/Z * exp (-1/T * E(allocation)), # where Z is the normalizing partition function # sum_allocations exp(-1/T *E(allocation)), and T is a temperature constant. # If T is high the distribution will be close to equally distributed. # If T is low, the distribution will be the indicator function # for min (E(allocation))… # # ... # # Just kidding. It's far more complicated than that. Ha ha ha ha ;) # include Helpers::Cache def score combinations # TODO Rewrite to use the category # categories = combinations.map { |combination| combination.bundle.category }.clustered_uniq # Note: Caching will not be necessary anymore if the # mapping is not necessary anymore. # cached @weights_cache, categories do categories.map! &:name weight_for categories end end end end
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17 entries across 17 versions & 1 rubygems