Implementing distance metrics using ruby

This small repo is intended to act as a demonstration of a number of distance metrics, relevant to the field of machine learning, as implemented in ruby.

The distance metrics implemented are:

• euclidean_distance
• manhattan_distance
• chebyshev_distance
• minkowski_distance
• hamming_distance
• cosine_similarity
• jaccard_similarity

The metrics are defined as class methods on the Metrics class, and each method takes two equal-length arrays. The minkowski_distance takes an additional parameter for the p-value.

To run the tests:

rspec spec/metrics_spec.rb

Please refer to the blog article for a more detailed discussion of these metrics and their implementation.