Introduction

The scikit-learn Python library has proven very popular with machine learning researchers and data scientists in the last five years. It provides a uniform interface for training and using models, as well as a set of tools for chaining (pipelines), evaluating, and tuning model hyperparameters. ScikitLearn.jl brings these capabilities to Julia. Its primary goal is to integrate both Julia- and Python-defined models together into the scikit-learn framework.

This library uses docstrings extensively (type ?function_name at the REPL). The primary source of information, tutorial, etc. is at scikit-learn, but please see how to read the Python documentation beforehand.