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Welcome to ramp's documentation!

Ramp is a python package for rapid machine learning prototyping. It provides a simple, declarative syntax for exploring features, algorithms and transformations quickly and efficiently. At its core it's a unified pandas-based framework for working with existing python machine learning and statistics libraries (scikit-learn, rpy2, etc.).

Features

  • Easy and methodical model comparison and evaluation
  • Clean components for features, models, and results
  • Comprehensive suite of tools for measuring, validating, and building, blending, and composing models.
  • Easily extensible API

Contents:

Indices and tables