The ibm-watsonx-ai library

The ibm-watsonx-ai Python library allows you to work with IBM watsonx.ai services. You can train, store, and deploy your models, score them using APIs, and finally integrate them with your application development.

For supported product offerings refer to Product Offerings section.

• Installation
  • Product Offerings
• Setup
  • IBM watsonx.ai for IBM Cloud
    • Requirements
    • Supported machine learning frameworks
    • Authentication
    • Firewall settings
  • IBM watsonx.ai software
    • Requirements
    • Supported machine learning frameworks
    • Authentication
    • watsonx.ai lightweight engines
• API
  • Prerequisites
  • Modules
    • Base
    • Core
    • Federated Learning
    • Data Connections
    • AutoAI
    • Foundation Models
    • Saving external models
• Samples
• Migration from ibm_watson_machine_learning
  • Migration Steps to New Packages
• V1 Migration Guide
  • What’s new?
    • Refactor and Cleanup
    • New authorization
    • Easier project and space setup
    • Foundation model functions moved under APIClient
    • Breaking changes
    • Deprecations
• Changelog
  • 1.1.26
  • 1.1.25
  • 1.1.24
  • 1.1.23
  • 1.1.22
  • 1.1.17
  • 1.1.16
  • 1.1.15
  • 1.1.14
  • 1.1.13
  • 1.1.12
  • 1.1.11
  • 1.1.10
  • 1.1.9
  • 1.1.8
  • 1.1.7
  • 1.1.6
  • 1.1.5
  • 1.1.4
  • 1.1.3
  • 1.1.2
  • 1.1.1
  • 1.1.0
  • 1.0.10
  • 1.0.9
  • 1.0.8
  • 1.0.6
  • 1.0.5
  • 1.0.4
  • 1.0.3
  • 1.0.2
  • 1.0.1
  • 1.0.0

Indices and tables

• Index

• Module Index

• Search Page