Troubleshooting

This guide helps you diagnose and fix common issues with Hyperactive.

• Installation Issues
• Runtime Errors
• Performance Issues
• Optimization Results
• Experiment-Specific Issues
• Getting More Help

Overview

Installation Issues

Import errors, missing modules, and dependency issues.

Runtime Errors

AttributeError, TypeError, and ValueError during execution.

Performance Issues

Slow optimization and memory errors.

Optimization Results

Inconsistent results, local optima, and unexpected scores.

Experiment-Specific Issues

Issues with sklearn, PyTorch Lightning, and other integrations.

Getting More Help

Where to get additional support.