A tour of scikit-learn
In the previous chapter, Chapter 9, Analyzing Textual Data and Social Media, we installed scikit-learn. With the pkg_check.py file in this book's code bundle, we can print the following scikit-learn module descriptions:
sklearn version 0.15.0 sklearn.__check_build DESCRIPTION Module to give helpful messages to the user that did not compile the scikit properly. PACKAGE CONTENTS _check_build setup FUNCTI sklearn.cluster DESCRIPTION The :mod:`sklearn.cluster` module gathers popular unsupervised clustering algorithms. PACKAGE CONTENTS _feature_agglomeration _h sklearn.covariance DESCRIPTION The :mod:`sklearn.covariance` module includes methods and algorithms to robustly estimate the covariance of features given a set sklearn.cross_decomposition sklearn.datasets DESCRIPTION The :mod:`sklearn.datasets` module includes utilities to load datasets, including methods to load and fetch popular reference da sklearn.decomposition DESCRIPTION The :mod:`sklearn.decomposition...
