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Simple forecasting methods for time series data, in pure Ruby
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README.rdoc

tealeaves

Build Status

Tealeaves is a simple forecasting toolset for ruby, able to product short term forecasts for time series data.

It implements Exponential Smoothing methods, including those dealing with seasonality & trends, and has some basic functionality to determine optimal models.

Usage

require 'tealeaves'

# A set of time series data
data = [1.0, 3.3 ... 24.56]

# Period, for example 12 for monthly data
period = 12

# Get an 'optimal' model
TeaLeaves.optimal_model(data, period)

# Or next period's forecasts from the optimal model
TeaLeaves.forecast(data, period)

# Or the next n period's forecasts from the optimal model
TeaLeaves.forecast(data, period, 3)

Note on Patches/Pull Requests

  • Fork the project.

  • Make your feature addition or bug fix.

  • Add tests for it. This is important so I don't break it in a future version unintentionally.

  • Commit, do not mess with rakefile, version, or history. (if you want to have your own version, that is fine but bump version in a commit by itself I can ignore when I pull)

  • Send me a pull request. Bonus points for topic branches.

Copyright

Copyright © 2010 Roland Swingler. See LICENSE for details.

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