Welcome to MLBase’s documentation!

MLBase.jl is a Julia package that provides useful tools for machine learning applications. It can be considered as a Swiss knife for you when you are writing machine learning codes.

Dependencies:

• Reexport: to support name reexport
• StatsBase: all names in StatsBase are reexported
• ArrayViews: view is reexported
• Iterators: to support grid search

Contents:

• Data Preprocessing Utilities
  • Data Repetition
  • Label Processing
• Classification
• Performance Evaluation
  • Classification Performance
  • Hit rate (for retrieval tasks)
  • Receiver Operating Characteristics (ROC)
• Cross Validation
  • Cross Validation Schemes
  • Cross Validation Function
• Model Tuning