TakeLab Podium¶

Data loading & preprocessing library for natural language processing. Compatible with all deep learning frameworks, based in NumPy.

The goal of Podium is to be lightweight, in terms of code and dependencies, flexible, to cover most common use-cases and easily adapt to more specific ones and clearly defined, so new users can quickly understand the sequence of operations and how to inject their custom functionality.

Contents¶

The documentation is organized in five parts:

  • Quickstart: a quick preview of the library,

  • Walkthrough: a description of how the basics work,

  • In-depth overview: advanced usage options,

  • Examples: full stand-alone examples of NLP models using Podium,

  • Core package Reference: the documentation of methods and classes in Podium.