Learn how to tune complex models and more.

The Basics

• Create an Experiment
• Define Parameter Boundaries
• Optimization Loop
• Set Observation Budget
• Wrap Up an Experiment
• Use Projects

API Topics

• Authentication
• Picking a Metric
• Manage Open Suggestions
• Tune Hyperparameters
• API Errors
• Duplicate Experiment
• Metadata
• Pagination

Advanced Features

• Multimetric Experiments
• Interpret Multimetric Experiment Solutions
• Metric Thresholds
• Metric Constraints
• Metric Strategy
• Metric Failures
• Multisolution Experiments
• Parameter Constraints
• Prior Beliefs
• Parameter Transformation
• Run in Parallel
• Tracking Suggestion and Observation Using Metadata
• Bring Your Own Optimizer
• Conditional Experiments (Beta)
• Multitask Experiments (Alpha)
• Training Monitor (Alpha)
• Training Monitor Visualizations (Alpha)