sweeps

Complete guide to hyperparameter optimization with W&B Sweeps.

Skills
AI research
0

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
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Install (Claude Code)

mkdir -p .claude/skills/sweeps && curl -fsSL https://doutorai.pt/data/lib/skills__sweeps.md -o .claude/skills/sweeps/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Comprehensive Hyperparameter Sweeps Guide

Complete guide to hyperparameter optimization with W&B Sweeps.

## Table of Contents
- Sweep Configuration
- Search Strategies
- Parameter Distributions
- Early Termination
- Parallel Execution
- Advanced Patterns
- Real-World Examples

## Sweep Configuration

### Basic Sweep Config

```python
sweep_config = {
    'method': 'bayes',  # Search strategy
    'metric': {
        'name': 'val/accuracy',
        'goal': 'maximize'  # or 'minimize'
    },
    'parameters': {
        'learning_rate': {
            'distribution': 'log_uniform',
            

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