mirror of
https://github.com/dkam/decisiontree.git
synced 2025-12-28 15:14:52 +00:00
Style changes
This commit is contained in:
@@ -1 +1,2 @@
|
||||
require File.dirname(__FILE__) + '/decisiontree/id3_tree.rb'
|
||||
require 'core_extension/array.rb'
|
||||
|
||||
@@ -13,32 +13,6 @@ class Object
|
||||
end
|
||||
end
|
||||
|
||||
class Array
|
||||
def classification
|
||||
collect(&:last)
|
||||
end
|
||||
|
||||
# calculate information entropy
|
||||
def entropy
|
||||
return 0 if empty?
|
||||
|
||||
info = {}
|
||||
total = 0
|
||||
each do |i|
|
||||
info[i] = !info[i] ? 1 : (info[i] + 1)
|
||||
total += 1
|
||||
end
|
||||
|
||||
result = 0
|
||||
info.each do |_symbol, count|
|
||||
if count > 0
|
||||
result += -count.to_f / total * Math.log(count.to_f / total) / Math.log(2.0)
|
||||
end
|
||||
end
|
||||
result
|
||||
end
|
||||
end
|
||||
|
||||
module DecisionTree
|
||||
Node = Struct.new(:attribute, :threshold, :gain)
|
||||
|
||||
@@ -105,9 +79,10 @@ module DecisionTree
|
||||
fitness = fitness_for(best.attribute)
|
||||
case type(best.attribute)
|
||||
when :continuous
|
||||
data.partition do |d|
|
||||
partitioned_data = data.partition do |d|
|
||||
d[attributes.index(best.attribute)] >= best.threshold
|
||||
end.each_with_index do |examples, i|
|
||||
end
|
||||
partitioned_data.each_with_index do |examples, i|
|
||||
tree[best][String.new(l[i])] = id3_train(examples, attributes, (data.classification.mode rescue 0), &fitness)
|
||||
end
|
||||
when :discrete
|
||||
|
||||
Reference in New Issue
Block a user