xlearn_doc | Document of xLearn

xLearn is a high-performance, easy-to-use, and scalable machine learning package, which can be used to solve large-scale machine learning problems, especially for the problems on large-scale sparse data, which is very common in scenes like CTR prediction and recommender system. If you are the user of liblinear, libfm, or libffm, now xLearn is your another better choice. This is because xLearn handles all of these models in a uniform platform and provides better performance and scalability compared to its competitors. This is a quick start tutorial showing snippets for you to quickly try out xLearn on a small demo dataset (Criteo CTR prediction) for a binary classification task.
The easiest way to install xLearn Python package is to use pip. The following command will download the xLearn source code and install python package it locally. ::.