Created
August 29, 2012 19:13
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Simple Linear Regression in Ruby
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class SimpleLinearRegression | |
def initialize(xs, ys) | |
@xs, @ys = xs, ys | |
if @xs.length != @ys.length | |
raise "Unbalanced data. xs need to be same length as ys" | |
end | |
end | |
def y_intercept | |
mean(@ys) - (slope * mean(@xs)) | |
end | |
def slope | |
x_mean = mean(@xs) | |
y_mean = mean(@ys) | |
numerator = ([email protected]).reduce(0) do |sum, i| | |
sum + ((@xs[i] - x_mean) * (@ys[i] - y_mean)) | |
end | |
denominator = @xs.reduce(0) do |sum, x| | |
sum + ((x - x_mean) ** 2) | |
end | |
(numerator / denominator) | |
end | |
def mean(values) | |
total = values.reduce(0) { |sum, x| x + sum } | |
Float(total) / Float(values.length) | |
end | |
end |
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Hi Ryan,
I found your code useful - and translated it to Elixir.
Any chance your code can be MIT licensed? I am happy to release my Elixir version as MIT also, but it's a derived work so you'll need to license yours first.
Kind regards,
James.