Swiss knife for machine learning.
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. It also depends on ArrayViews and reexports the view function.
- Documentation: http://mlbasejl.readthedocs.org/en/latest/
- Release Notes: https://github.com/JuliaStats/MLBase.jl/blob/master/NEWS.md