docs: Major documentation overhaul - restructure folders, update tagline, add Getting Started guide
- Restructure docs/ folder (remove numeric prefixes): - 04_USER_GUIDES -> guides/ - 05_API_REFERENCE -> api/ - 06_PHYSICS -> physics/ - 07_DEVELOPMENT -> development/ - 08_ARCHIVE -> archive/ - 09_DIAGRAMS -> diagrams/ - Replace tagline 'Talk, don't click' with 'LLM-driven optimization framework' in 9 files - Create comprehensive docs/GETTING_STARTED.md: - Prerequisites and quick setup - Project structure overview - First study tutorial (Claude or manual) - Dashboard usage guide - Neural acceleration introduction - Rewrite docs/00_INDEX.md with correct paths and modern structure - Archive obsolete files: - 01_PROTOCOLS.md -> archive/historical/01_PROTOCOLS_legacy.md - 03_GETTING_STARTED.md -> archive/historical/ - ATOMIZER_PODCAST_BRIEFING.md -> archive/marketing/ - Update timestamps to 2026-01-20 across all key files - Update .gitignore to exclude docs/generated/ - Version bump: ATOMIZER_CONTEXT v1.8 -> v2.0
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# Optuna Dashboard Integration
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Atomizer leverages Optuna's built-in dashboard for advanced real-time optimization visualization.
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## Quick Start
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### 1. Install Optuna Dashboard
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```bash
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# Using atomizer environment
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conda activate atomizer
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pip install optuna-dashboard
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```
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### 2. Launch Dashboard for a Study
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```bash
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# Navigate to your substudy directory
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cd studies/simple_beam_optimization/substudies/full_optimization_50trials
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# Launch dashboard pointing to the Optuna study database
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optuna-dashboard sqlite:///optuna_study.db
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```
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The dashboard will start at http://localhost:8080
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### 3. View During Active Optimization
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```bash
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# Start optimization in one terminal
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python studies/simple_beam_optimization/run_optimization.py
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# In another terminal, launch dashboard
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cd studies/simple_beam_optimization/substudies/full_optimization_50trials
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optuna-dashboard sqlite:///optuna_study.db
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```
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The dashboard updates in real-time as new trials complete!
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---
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## Dashboard Features
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### **1. Optimization History**
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- Interactive plot of objective value vs trial number
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- Hover to see parameter values for each trial
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- Zoom and pan for detailed analysis
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### **2. Parallel Coordinate Plot**
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- Multi-dimensional visualization of parameter space
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- Each line = one trial, colored by objective value
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- Instantly see parameter correlations
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### **3. Parameter Importances**
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- Identifies which parameters most influence the objective
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- Based on fANOVA (functional ANOVA) analysis
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- Helps focus optimization efforts
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### **4. Slice Plot**
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- Shows objective value vs individual parameters
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- One plot per design variable
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- Useful for understanding parameter sensitivity
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### **5. Contour Plot**
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- 2D contour plots of objective surface
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- Select any two parameters to visualize
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- Reveals parameter interactions
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### **6. Intermediate Values**
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- Track metrics during trial execution (if using pruning)
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- Useful for early stopping of poor trials
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---
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## Advanced Usage
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### Custom Port
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```bash
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optuna-dashboard sqlite:///optuna_study.db --port 8888
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```
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### Multiple Studies
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```bash
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# Compare multiple optimization runs
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optuna-dashboard sqlite:///substudy1/optuna_study.db sqlite:///substudy2/optuna_study.db
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```
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### Remote Access
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```bash
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# Allow connections from other machines
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optuna-dashboard sqlite:///optuna_study.db --host 0.0.0.0
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```
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---
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## Integration with Atomizer Workflow
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### Study Organization
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Each Atomizer substudy has its own Optuna database:
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```
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studies/simple_beam_optimization/
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├── substudies/
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│ ├── full_optimization_50trials/
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│ │ ├── optuna_study.db # ← Optuna database (SQLite)
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│ │ ├── optuna_study.pkl # ← Optuna study object (pickle)
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│ │ ├── history.json # ← Atomizer history
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│ │ └── plots/ # ← Matplotlib plots
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│ └── validation_3trials/
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│ └── optuna_study.db
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```
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### Visualization Comparison
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**Optuna Dashboard** (Interactive, Web-based):
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- ✅ Real-time updates during optimization
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- ✅ Interactive plots (zoom, hover, filter)
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- ✅ Parameter importance analysis
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- ✅ Multiple study comparison
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- ❌ Requires web browser
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- ❌ Not embeddable in reports
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**Atomizer Matplotlib Plots** (Static, High-quality):
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- ✅ Publication-quality PNG/PDF exports
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- ✅ Customizable styling and annotations
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- ✅ Embeddable in reports and papers
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- ✅ Offline viewing
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- ❌ Not interactive
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- ❌ Not real-time
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**Recommendation**: Use **both**!
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- Monitor optimization in real-time with Optuna Dashboard
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- Generate final plots with Atomizer visualizer for reports
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---
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## Troubleshooting
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### "No studies found"
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Make sure you're pointing to the correct database file:
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```bash
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# Check if optuna_study.db exists
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ls studies/*/substudies/*/optuna_study.db
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# Use absolute path if needed
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optuna-dashboard sqlite:///C:/Users/antoi/Documents/Atomaste/Atomizer/studies/simple_beam_optimization/substudies/full_optimization_50trials/optuna_study.db
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```
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### Database Locked
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If optimization is actively writing to the database:
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```bash
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# Use read-only mode
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optuna-dashboard sqlite:///optuna_study.db?mode=ro
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```
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### Port Already in Use
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```bash
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# Use different port
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optuna-dashboard sqlite:///optuna_study.db --port 8888
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```
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---
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## Example Workflow
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```bash
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# 1. Start optimization
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python studies/simple_beam_optimization/run_optimization.py
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# 2. In another terminal, launch Optuna dashboard
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cd studies/simple_beam_optimization/substudies/full_optimization_50trials
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optuna-dashboard sqlite:///optuna_study.db
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# 3. Open browser to http://localhost:8080 and watch optimization live
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# 4. After optimization completes, generate static plots
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python -m optimization_engine.visualizer studies/simple_beam_optimization/substudies/full_optimization_50trials png pdf
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# 5. View final plots
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explorer studies/simple_beam_optimization/substudies/full_optimization_50trials/plots
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```
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---
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## Optuna Dashboard Screenshots
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### Optimization History
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### Parallel Coordinate Plot
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### Parameter Importance
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---
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## Further Reading
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- [Optuna Dashboard Documentation](https://optuna-dashboard.readthedocs.io/)
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- [Optuna Visualization Module](https://optuna.readthedocs.io/en/stable/reference/visualization/index.html)
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- [fANOVA Parameter Importance](https://optuna.readthedocs.io/en/stable/reference/generated/optuna.importance.FanovaImportanceEvaluator.html)
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---
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## Summary
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| Feature | Optuna Dashboard | Atomizer Matplotlib |
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|---------|-----------------|-------------------|
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| Real-time updates | ✅ Yes | ❌ No |
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| Interactive | ✅ Yes | ❌ No |
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| Parameter importance | ✅ Yes | ⚠️ Manual |
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| Publication quality | ⚠️ Web only | ✅ PNG/PDF |
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| Embeddable in docs | ❌ No | ✅ Yes |
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| Offline viewing | ❌ Needs server | ✅ Yes |
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| Multi-study comparison | ✅ Yes | ⚠️ Manual |
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**Best Practice**: Use Optuna Dashboard for monitoring and exploration, Atomizer visualizer for final reporting.
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