Skip to main content
Redhat Developers  Logo
  • Products

    Featured

    • Red Hat Enterprise Linux
      Red Hat Enterprise Linux Icon
    • Red Hat OpenShift AI
      Red Hat OpenShift AI
    • Red Hat Enterprise Linux AI
      Linux icon inside of a brain
    • Image mode for Red Hat Enterprise Linux
      RHEL image mode
    • Red Hat OpenShift
      Openshift icon
    • Red Hat Ansible Automation Platform
      Ansible icon
    • Red Hat Developer Hub
      Developer Hub
    • View All Red Hat Products
    • Linux

      • Red Hat Enterprise Linux
      • Image mode for Red Hat Enterprise Linux
      • Red Hat Universal Base Images (UBI)
    • Java runtimes & frameworks

      • JBoss Enterprise Application Platform
      • Red Hat build of OpenJDK
    • Kubernetes

      • Red Hat OpenShift
      • Microsoft Azure Red Hat OpenShift
      • Red Hat OpenShift Virtualization
      • Red Hat OpenShift Lightspeed
    • Integration & App Connectivity

      • Red Hat Build of Apache Camel
      • Red Hat Service Interconnect
      • Red Hat Connectivity Link
    • AI/ML

      • Red Hat OpenShift AI
      • Red Hat Enterprise Linux AI
    • Automation

      • Red Hat Ansible Automation Platform
      • Red Hat Ansible Lightspeed
    • Developer tools

      • Red Hat Trusted Software Supply Chain
      • Podman Desktop
      • Red Hat OpenShift Dev Spaces
    • Developer Sandbox

      Developer Sandbox
      Try Red Hat products and technologies without setup or configuration fees for 30 days with this shared Openshift and Kubernetes cluster.
    • Try at no cost
  • Technologies

    Featured

    • AI/ML
      AI/ML Icon
    • Linux
      Linux Icon
    • Kubernetes
      Cloud icon
    • Automation
      Automation Icon showing arrows moving in a circle around a gear
    • View All Technologies
    • Programming Languages & Frameworks

      • Java
      • Python
      • JavaScript
    • System Design & Architecture

      • Red Hat architecture and design patterns
      • Microservices
      • Event-Driven Architecture
      • Databases
    • Developer Productivity

      • Developer productivity
      • Developer Tools
      • GitOps
    • Secure Development & Architectures

      • Security
      • Secure coding
    • Platform Engineering

      • DevOps
      • DevSecOps
      • Ansible automation for applications and services
    • Automated Data Processing

      • AI/ML
      • Data Science
      • Apache Kafka on Kubernetes
      • View All Technologies
    • Start exploring in the Developer Sandbox for free

      sandbox graphic
      Try Red Hat's products and technologies without setup or configuration.
    • Try at no cost
  • Learn

    Featured

    • Kubernetes & Cloud Native
      Openshift icon
    • Linux
      Rhel icon
    • Automation
      Ansible cloud icon
    • Java
      Java icon
    • AI/ML
      AI/ML Icon
    • View All Learning Resources

    E-Books

    • GitOps Cookbook
    • Podman in Action
    • Kubernetes Operators
    • The Path to GitOps
    • View All E-books

    Cheat Sheets

    • Linux Commands
    • Bash Commands
    • Git
    • systemd Commands
    • View All Cheat Sheets

    Documentation

    • API Catalog
    • Product Documentation
    • Legacy Documentation
    • Red Hat Learning

      Learning image
      Boost your technical skills to expert-level with the help of interactive lessons offered by various Red Hat Learning programs.
    • Explore Red Hat Learning
  • Developer Sandbox

    Developer Sandbox

    • Access Red Hat’s products and technologies without setup or configuration, and start developing quicker than ever before with our new, no-cost sandbox environments.
    • Explore Developer Sandbox

    Featured Developer Sandbox activities

    • Get started with your Developer Sandbox
    • OpenShift virtualization and application modernization using the Developer Sandbox
    • Explore all Developer Sandbox activities

    Ready to start developing apps?

    • Try at no cost
  • Blog
  • Events
  • Videos

Learn how to build, train, and run a PyTorch model

March 23, 2022
Audrey Reznik
Related topics:
Artificial intelligenceData Science
Related products:
Red Hat OpenShift AI

Share:

    We hope you have enjoyed the first four Red Hat OpenShift Data Science learning paths:

    • Launch Red Hat OpenShift Data Science
    • Red Hat OpenShift Data Science resources
    • How to access, download and analyze data for S3
    • How to create a TensorFlow model

    To complement these resources, we have released a new data science learning path that will guide you through developing a PyTorch model that will be used to predict the onset of diabetes. This article describes the PyTorch learning path and provides an overview of OpenShift Data Science.

    Note: Visit the OpenShift Data Science page to see our complete library of learning paths and other resources for developers and data scientists collaborating on intelligent applications.

    Build, train, and run a PyTorch model

    In How to create a PyTorch model, you will perform the following tasks:

    1. Start your Jupyter notebook server for PyTorch.
    2. Explore the diabetes data set.
    3. Build, train, and run your PyTorch model.

    This learning path is the first in a three-part series about working with PyTorch models. In the first learning path, we show you how to explore your data set and create a basic PyTorch model. The model will help us predict if a person might have diabetes based on current medical readings. You will work with a data set that contains a number of diabetes readings for female patients with and without diabetes.

    The Diabetes data set

    The Diabetes data set can be used to predict the onset of diabetes based on medical diagnostic measurements. This database is available through the Kaggle environment and is described as follows:

    “This data set is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the data set is to diagnostically predict whether a patient has diabetes based on diagnostic measurements included in the data set. Several constraints were placed on selecting these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.”

    The data set consists of about 800 examples of various medical readings for female patients who are members of an indigenous nation. Some of the patients have diabetes. Knowing what medical readings look like for a person with diabetes, can we predict which people might have diabetes based on the medical readings we have gathered?

    Let's dive in and see if we can create a PyTorch model to achieve this. Start the learning path now.

    What is OpenShift Data Science?

    OpenShift Data Science is a platform that makes it easier for developers and data scientists to develop, deploy, and monitor machine learning models. As a comprehensive environment built on top of Red Hat OpenShift, OpenShift Data Science integrates Jupyter notebooks—the core IDE where data scientists train models—with model development frameworks such as TensorFlow and PyTorch.

    You can think of OpenShift Data Science as a meta-operator that sits above other Kubernetes Operators and combines them into a coherent, integrated environment. Currently, OpenShift Data Science partner technologies include:

    • Anaconda Commercial Edition for secure distribution and package management
    • IBM Watson Studio for building and managing models at scale and for AutoML
    • Intel OpenVINO and oneAPI AI analytics toolkits for optimizing and tuning models
    • Seldon Deploy for deploying, managing, and monitoring models
    • Starburst Galaxy for data integration

    Support for NVIDIA accelerated computing is also coming soon.

    Note: You can also try OpenShift Data Science in the Developer Sandbox for Red Hat OpenShift.

    Where can I learn more?

    Visit the OpenShift Data Science landing page to learn more about how data scientists, data engineers, and application developers use this service to collaborate across the intelligent application life cycle.

    Last updated: September 20, 2023

    Related Posts

    • AI software stack inspection with Thoth and TensorFlow

    • 4 reasons you'll love using Red Hat OpenShift Data Science

    • Build and deploy an object detection model using OpenShift Data Science

    • More machine learning with OpenShift Data Science

    Recent Posts

    • How to run AI models in cloud development environments

    • How Trilio secures OpenShift virtual machines and containers

    • How to implement observability with Node.js and Llama Stack

    • How to encrypt RHEL images for Azure confidential VMs

    • How to manage RHEL virtual machines with Podman Desktop

    Red Hat Developers logo LinkedIn YouTube Twitter Facebook

    Products

    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform

    Build

    • Developer Sandbox
    • Developer Tools
    • Interactive Tutorials
    • API Catalog

    Quicklinks

    • Learning Resources
    • E-books
    • Cheat Sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site Status Dashboard
    • Report a security problem

    RED HAT DEVELOPER

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility

    Report a website issue