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1.9.1

Release Notes

  • Change Log

Introduction

  • Introduction to Driverless AI

Licensing

  • Driverless AI License

Installation and Upgrade

  • Driverless AI Installation And Upgrade

Configuration

  • Configuration and Authentication
    • Using the config.toml File
    • Environment Variables and Configuration Options
    • Data Connectors
    • Enabling Notifications
    • Exporting Artifacts
    • UI Language
    • Multinode Training (Alpha)
      • Redis Multinode Training
      • Dask Multinode Training (Alpha)
    • Authentication Methods

Datasets

  • Datasets in Driverless AI

Data Insights

  • Automatic Visualization

Feature Engineering

  • Automatic Feature Engineering

Modeling

  • Building Models in Driverless AI
  • Automated Model Documentation (AutoDoc)

Machine Learning Interpretability

  • Machine Learning Interpretability

Scoring on New Datasets

  • Scoring on Another Dataset

Transforming Datasets

  • Transforming Another Dataset

Scoring Pipelines

  • Scoring Pipelines

Productionization

  • Deploying the MOJO Pipeline

Clients

  • Driverless AI Clients

Monitoring and Logging

  • Monitoring and Logging

Security

  • Security

Frequently Asked Questions

  • FAQ

Appendices

  • Appendix A: Custom Recipes
  • Appendix B: Third-Party Integrations

References

  • References

Third-Party Notices

  • Third-Party Licenses
Using Driverless AI
  • »
  • Configuration and Authentication »
  • Multinode Training (Alpha)
  • Edit on GitHub

Multinode Training (Alpha)ΒΆ

Driverless AI can be configured to run in a multinode worker mode. This document describes the multinode training process and how to configure it.

  • Redis Multinode Training
    • Understanding Redis Multinode Training
    • Requirements
    • Redis Multinode Setup Example
    • Description of Configuration Attributes
  • Dask Multinode Training (Alpha)
    • Understanding Dask Multinode Training
    • Dask Multinode Setup Example
    • Description of Configuration Attributes
    • Example: User Experiment Dask Settings
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