How to Create a Machine Learning Application in Rust using Linfa

How to Create a Machine Learning Application in Rust using Linfa

Learn how to create a basic machine learning application in Rust using Linfa, a meta-crate that includes algorithms for machine learning. Use Linfa in your Rust application to add algorithms for many areas of machine learning like linear regression and data clustering.

Learn how to create a basic machine learning application in Rust using Linfa, a meta-crate that includes algorithms for machine learning. Use Linfa in your Rust application to add algorithms for many areas of machine learning like linear regression and data clustering.

Machine learning is such an interesting topic. When it comes to machine learning in Rust, I’ve dipped my toes in before and the topic continues to fascinate me.

Whenever I’m learning a new programming language, after a while, I’ll ask myself, “Can I do machine learning with this?” Of course, you can “do machine learning” with any programming language. So the question is, rather, how well does it work?

In this tutorial, we’ll show you how to create a basic machine learning application in Rust using Linfa. In the process, we’ll cover the following:

  • Is Rust good for machine learning?
  • What is Linfa?
  • What is logistic regression?
  • Building a simple machine learning app in Rust
  • Loading the data
  • Plotting the data
  • Training and validating the model
  • The future of machine learning in Rust

rust machine-learning linfa data-science

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