t-SNE

High performance t-SNE for Ruby, powered by Multicore t-SNE

Installation

Add this line to your application’s Gemfile:

gem 'tsne'

Getting Started

Prep your data

x = Numo::DFloat.cast([[0, 0, 0], [0, 1, 1], [1, 0, 1], [1, 1, 1]])

Run

tsne = TSNE.new
tsne.fit_transform(x)

Get Kullback-Leibler divergence

tsne.kl_divergence

Parameters

TSNE.new(
  n_components: 2,
  perplexity: 30.0,
  early_exaggeration: 12,
  learning_rate: 200,
  n_iter: 1000,
  n_iter_early_exag: 250,
  verbose: 0,
  random_state: -1,
  angle: 0.5,
  n_jobs: 1,
  cheat_metric: true
)

History

View the changelog

Contributing

Everyone is encouraged to help improve this project. Here are a few ways you can help:

• Report bugs
• Fix bugs and submit pull requests
• Write, clarify, or fix documentation
• Suggest or add new features

To get started with development:

git clone https://github.com/ankane/tsne.git
cd tsne
bundle install
bundle exec rake vendor:all
bundle exec rake test