Skip to Main Content
Python 3 Text Processing with NLTK 3 Cookbook - Second Edition
book

Python 3 Text Processing with NLTK 3 Cookbook - Second Edition

by Jacob Perkins
August 2014
Beginner to intermediate content levelBeginner to intermediate
304 pages
7h 10m
English
Packt Publishing
Content preview from Python 3 Text Processing with NLTK 3 Cookbook - Second Edition

Training scikit-learn classifiers

Scikit-learn is one of the best machine learning libraries available in any programming language. It contains all sorts of machine learning algorithms for many different purposes, but they all follow the same fit/predict design pattern:

  • Fit the model to the data
  • Use the model to make predictions

We won't be accessing the scikit-learn models directly in this recipe. Instead, we'll be using NLTK's SklearnClassifier class, which is a wrapper class around a scikit-learn model to make it conform to NLTK's ClassifierI interface. This means that the SklearnClassifier class can be trained and used much like the classifiers we've used in the previous recipes in this chapter.

Note

I may use the terms scikit-learn and sklearn ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python Machine Learning - Third Edition

Python Machine Learning - Third Edition

Sebastian Raschka, Vahid Mirjalili
Python Cookbook, 3rd Edition

Python Cookbook, 3rd Edition

David Beazley, Brian K. Jones

Publisher Resources

ISBN: 9781782167853Supplemental Content