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  • Welcome

Get Started

  • How It Works
    • Introduction to Determined
    • System Architecture
  • Tutorials
    • Run Your First Experiment
    • PyTorch MNIST Tutorial
    • PyTorch Porting Tutorial
    • TensorFlow Keras Fashion MNIST Tutorial
  • Quickstart for Model Developers
  • Examples
  • Model Hub Library
    • Huggingface Trainsformers
      • Tutorial
      • Examples
    • MMDetection

Set Up

  • Basic Setup
  • Setup Guides
    • Deploy on Prem
      • Installation Requirements
      • Install Determined Using Docker
      • Install Determined Using det deploy
      • Install Determined Using Linux Packages
      • Install Determined Using Homebrew (macOS)
      • Install Determined Using Windows Subsystem for Linux (Windows)
    • Deploy on AWS
      • Install Determined
      • Deploy Determined with Dynamic Agents
      • Use Spot Instances
    • Deploy on GCP
      • Install Determined
      • Deploy Determined with Dynamic Agents
    • Deploy on Kubernetes
      • Install Determined on Kubernetes
      • Set up and Manage an Azure Kubernetes Service (AKS) Cluster
      • Set up and Manage an AWS Kubernetes (EKS) Cluster
      • Set up and Manage a Google Kubernetes Engine (GKE) Cluster
      • Development Guide
      • Customize a Pod
      • Helm and Kubectl Command Examples
      • Troubleshooting
    • Deploy on Slurm/PBS
      • Installation Requirements
      • HPC Launching Architecture
      • HPC Launcher Security Considerations
      • Install Determined on Slurm/PBS
      • Provide a Container Image Cache
      • Known Issues
  • Security
    • OAuth 2.0 Configuration
    • Transport Layer Security
    • OpenID Connect Integration
    • SAML Integration
    • SCIM Integration
    • RBAC
  • User Accounts
  • Workspaces and Projects
  • Logging and Elasticsearch
  • Cluster Usage History
  • Monitor Experiment Through Webhooks
    • Through Zapier
    • Through Slack
  • Upgrade
  • Troubleshooting

Model Developer Guide

  • Overview
  • Distributed Training
  • Prepare Container Environment
    • Set Environment Images
    • Customizing Your Environment
  • Prepare Data
  • Training API Guides
    • Core API User Guide
    • PyTorch API
    • PyTorch Lightning API
    • Keras API
    • DeepSpeed API
      • API Usage Guide
      • Autotuning
      • Advanced Usage
      • PyTorchTrial to DeepSpeedTrial
    • Estimator API
  • Hyperparameter Tuning
    • Configure Hyperparameter Ranges
    • Hyperparameter Search Constraints
    • Instrument Model Code
    • Handle Trial Errors and Early Stopping Requests
    • Search Methods
      • Adaptive (Asynchronous) Method
      • Grid Method
      • Random Method
      • Single Search Method
      • Custom Search Methods
  • Submit Experiment
  • How to Debug Models
  • Model Management
    • Checkpoints
    • Organize Models in the Model Registry
  • Best Practices

Reference

  • Overview
  • Python SDK
  • REST API
  • Training Reference
    • det
    • det.core
    • det.pytorch
    • det.pytorch.samplers
    • det.pytorch.deepspeed
    • det.pytorch.lightning
    • det.keras
    • det.estimator
    • Experiment Configuration
  • Experiment Configuration Reference
  • Model Hub Reference
    • MMDetection API
    • Transformers API
  • Deployment Reference
    • Common Configuration Options
    • Master Configuration Reference
    • Agent Configuration Reference
    • Helm Chart Configuration Reference
  • Job Configuration Reference
  • Custom Searcher Reference
  • CLI Reference

Tools

  • Overview
  • CLI User Guide
  • Commands and Shells
  • WebUI Interface
  • Jupyter Notebooks
  • TensorBoards
  • Exposing Custom Ports

Integrations

  • Works with Determined
  • IDE Integration
  • Prometheus and Grafana
  • Open Source Licenses
Set Up Reference
Release Notes Blog

Reference

Reference#

Python SDK

You can interact with a Determined cluster with the Python SDK.

REST API

The Determined REST API allows you to interact with a Determined cluster programmatically.

Training API Reference

Reference documentation for the Training APIs and Experiment Configuration File.

Model Hub Reference

Reference documentation for the Model Hub APIs.

Deployment Reference

Reference documentation for configuring Determined deployment.

Job Configuration Reference

Configuration reference information for interactive jobs such as TensorBoards, notebooks, commands, and shells.

Custom Searcher Reference

Reference documentation for custom search methods.

CLI Reference

Reference documentation for the Determined CLI.

Tools

Get help for using tools and interfaces including how to install the Determined CLI.

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Best Practices

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Python SDK

By hello@determined.ai

© Copyright 2023, Determined AI.