Machine Learning

Save and Load Machine Learning Models in Python with scikit-learn

Last Updated on August 28, 2020

Finding an accurate machine learning model is not the end of the project.

In this post you will discover how to save and load your machine learning model in Python using scikit-learn.

This allows you to save your model to file and load it later in order to make predictions.

Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

  • Update Jan/2017: Updated to reflect changes to the scikit-learn API in version 0.18.
  • Update Mar/2018: Added alternate link to download the dataset as the original appears to have been taken down.
  • Update Oct/2019: Fixed typo in comment.
  • Update Feb/2020: Updated joblib API.
Save and Load Machine Learning Models in Python with scikit-learn

Save and Load Machine Learning Models in Python with scikit-learn
Photo by Christine, some rights reserved.

Tutorial Overview

This tutorial is divided into 3 parts, they are:

  1. Save Your Model with pickle
  2. Save Your Model with joblib
  3. Tips for Saving Your
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