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1.9.0.4

Release Notes

  • Change Log

Introduction

  • Introduction to H2O Driverless AI

Overview

  • Why Driverless AI?
  • Key Features
  • Supported Algorithms
  • Driverless AI Workflow

Licensing

  • Driverless AI Licenses

Installation and Upgrade

  • Supported Environments
  • Before You Begin Installing or Upgrading
  • Sizing Requirements
  • Installing and Upgrading Driverless AI

Configuring Driverless AI

  • Using the config.toml File
  • Environment Variables and Configuration Options
  • Multinode Training (Alpha)
  • Enabling Data Connectors
  • Configuring Authentication
  • Enabling Notifications
  • Export Artifacts
  • Changing the Language in the UI

Using Driverless AI

  • Launching Driverless AI
  • The Datasets Page
  • Experiments
    • Before You Begin
    • New Experiments
    • Completed Experiment
    • Model Insights
    • Model Scores
    • Experiment Graphs
    • Experiment Summary
    • Viewing Experiments
  • Diagnosing a Model
  • Project Workspace
  • Leaderboards

Machine Learning Interpretability

  • MLI Overview
  • The Interpreted Models Page
  • MLI for Regular (Non-Time-Series) Experiments
  • MLI for Time-Series Experiments

Scoring on New Datasets

  • Score on Another Dataset

Transforming Datasets

  • Transform Another Dataset

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

MOJO Pipeline Deployments

  • Deploying the MOJO Pipeline

What's Happening?

  • What’s Happening in Driverless AI?
  • Data Sampling
  • Driverless AI Transformations
  • Internal Validation Technique
  • Missing and Unseen Levels Handling
  • Imputation in Driverless AI
  • Time Series in Driverless AI
  • NLP in Driverless AI
  • Image Processing in Driverless AI
  • Queuing

Python and R Clients

  • The Python Client
  • The R Client

Monitoring and Logging

  • Monitoring Pending Jobs
  • Driverless AI Logs
  • Sending Logs to H2O.ai
  • System Logs

Security

  • Driverless AI Security
  • Configuration Security

Frequently Asked Questions

  • FAQ
  • Tips ‘n Tricks

Appendices

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

References

  • References

Third-Party Notices

  • Third-Party Licenses
Using Driverless AI
  • »
  • Experiments
  • Edit on GitHub

Experiments¶

  • Before You Begin
  • New Experiments
  • Completed Experiment
  • Model Insights
  • Model Scores
  • Experiment Graphs
  • Experiment Summary
  • Viewing Experiments
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