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1.11.1

Release Notes

  • Change Log
  • Driverless AI release blogs

Introduction

  • Introduction to Driverless AI

Licensing and Version Support

  • Driverless AI License and Version Support

Installation and Upgrade

  • Driverless AI Installation and Upgrade

Configuration

  • Configuration and Authentication

Datasets

  • Datasets in Driverless AI

Data Insights

  • Automatic Visualization

Custom Recipes

  • Custom Recipe Management
  • Custom Individual Recipe

Feature Engineering

  • Automatic Feature Engineering
  • Feature Count Control

Modeling

  • Building Models in Driverless AI
  • H2O Driverless AI Experiment Setup Wizard
  • Automated Model Documentation (AutoDoc)

Machine Learning Interpretability

  • Machine Learning Interpretability

Generative AI

  • h2oGPT integration

Scoring on New Datasets

  • Scoring on Another Dataset

Transforming Datasets

  • Transform datasets

Scoring Pipelines

  • Scoring Pipelines
    • Scoring Pipelines Overview
    • Visualizing the Scoring Pipeline
    • Which Pipeline Should I Use?
    • Driverless AI Standalone Python Scoring Pipeline
    • Driverless AI MLI Standalone Python Scoring Package
    • MOJO Scoring Pipelines

Productionization

  • Deploy Driverless AI models

Clients

  • Driverless AI Clients

Monitoring and Logging

  • Monitoring and Logging

Security

  • Security

Frequently Asked Questions

  • FAQ

Appendices

  • Appendix A: Third-Party Integrations

References

  • References

Third-Party Notices

  • Third-Party Licenses

Translations

  • Go to User Guide in Chinese
  • Go to User Guide in Korean
Using Driverless AI
  • »
  • Scoring Pipelines
  • Edit on GitHub

Scoring PipelinesΒΆ

  • Scoring Pipelines Overview
  • Visualizing the Scoring Pipeline
  • Which Pipeline Should I Use?
  • Driverless AI Standalone Python Scoring Pipeline
  • Driverless AI MLI Standalone Python Scoring Package
  • MOJO Scoring Pipelines
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