A set of functions to support the development of machine learning algorithms
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Swiss knife for machine learning.

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This package does not implement specific machine learning algorithms. Instead, it provides a collection of useful tools to support machine learning programs, including:

  • Data manipulation & preprocessing
  • Score-based classification
  • Performance evaluation (e.g. evaluating ROC)
  • Cross validation
  • Model tuning (i.e. search best settings of parameters)

Notes: This package depends on StatsBase and reexports all names therefrom.