Created
December 30, 2016 17:05
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defmodule KNN do | |
defmodule LabeLWithFeatures do | |
defstruct label: [], pixels: [] | |
end | |
def slurp_file(file) do | |
File.read!(file) | |
|> String.split("\n") | |
|> Stream.drop(1) | |
|> Stream.map(fn row -> | |
csv_row_to_label(String.split(row, ",")) | |
end) | |
|> Enum.to_list() | |
end | |
def csv_row_to_label([label|pixels]) do | |
%LabeLWithFeatures{label: label, pixels: pixels |> Enum.map(fn num -> parse_binary_to_float(num) end)} | |
end | |
def parse_binary_to_float(binary) do | |
{float, _} = Integer.parse(binary) | |
float | |
end | |
def distance(x_pixels, y_pixels) do | |
x_pixels | |
|> Stream.flat_map(fn x -> (Stream.map(y_pixels, fn y -> :math.pow(x-y, 2) end )) end) | |
|> Enum.to_list() | |
|> Enum.sum | |
end | |
def classify(training_labels, pixels) do | |
min_training_label = | |
training_labels | |
|> Enum.min_by(fn training_label -> distance(training_label.pixels, pixels) end) | |
min_training_label.label | |
end | |
def main() do | |
trainingsample = slurp_file("trainingsample.csv") | |
validationsample = slurp_file("validationsample.csv") | |
total_correct_item = | |
validationsample | |
|> Stream.filter(fn validation_item -> (classify(trainingsample, validation_item.pixels) == validation_item.label) end) | |
|> Enum.to_list() | |
|> Enum.count() | |
IO.puts "Percentage correct: #{(total_correct_item/Enum.count(validationsample)) * 100}" | |
end | |
end | |
KNN.main() | |
# IO.inspect NearestNeighbour.slurp_file("trainingsample.csv") |> hd() | |
# IO.puts NearestNeighbour.calculate_total_correct("trainingsample.csv", "validationsample.csv") |
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