Atomizer/docs/08_ARCHIVE/historical/OPTUNA_DASHBOARD.md

Optuna Dashboard Integration

Atomizer leverages Optuna's built-in dashboard for advanced real-time optimization visualization.

Quick Start

1. Install Optuna Dashboard

# Using atomizer environment
conda activate atomizer
pip install optuna-dashboard

2. Launch Dashboard for a Study

# Navigate to your substudy directory
cd studies/simple_beam_optimization/substudies/full_optimization_50trials

# Launch dashboard pointing to the Optuna study database
optuna-dashboard sqlite:///optuna_study.db

The dashboard will start at http://localhost:8080

3. View During Active Optimization

# Start optimization in one terminal
python studies/simple_beam_optimization/run_optimization.py

# In another terminal, launch dashboard
cd studies/simple_beam_optimization/substudies/full_optimization_50trials
optuna-dashboard sqlite:///optuna_study.db

The dashboard updates in real-time as new trials complete!

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Dashboard Features

1. Optimization History

• Interactive plot of objective value vs trial number
• Hover to see parameter values for each trial
• Zoom and pan for detailed analysis

2. Parallel Coordinate Plot

• Multi-dimensional visualization of parameter space
• Each line = one trial, colored by objective value
• Instantly see parameter correlations

3. Parameter Importances

• Identifies which parameters most influence the objective
• Based on fANOVA (functional ANOVA) analysis
• Helps focus optimization efforts

4. Slice Plot

• Shows objective value vs individual parameters
• One plot per design variable
• Useful for understanding parameter sensitivity

5. Contour Plot

• 2D contour plots of objective surface
• Select any two parameters to visualize
• Reveals parameter interactions

6. Intermediate Values

• Track metrics during trial execution (if using pruning)
• Useful for early stopping of poor trials

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Advanced Usage

Custom Port

optuna-dashboard sqlite:///optuna_study.db --port 8888

Multiple Studies

# Compare multiple optimization runs
optuna-dashboard sqlite:///substudy1/optuna_study.db sqlite:///substudy2/optuna_study.db

Remote Access

# Allow connections from other machines
optuna-dashboard sqlite:///optuna_study.db --host 0.0.0.0

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Integration with Atomizer Workflow

Study Organization

Each Atomizer substudy has its own Optuna database:

studies/simple_beam_optimization/
├── substudies/
│   ├── full_optimization_50trials/
│   │   ├── optuna_study.db        # ← Optuna database (SQLite)
│   │   ├── optuna_study.pkl       # ← Optuna study object (pickle)
│   │   ├── history.json           # ← Atomizer history
│   │   └── plots/                 # ← Matplotlib plots
│   └── validation_3trials/
│       └── optuna_study.db

Visualization Comparison

Optuna Dashboard (Interactive, Web-based):

• ✅ Real-time updates during optimization
• ✅ Interactive plots (zoom, hover, filter)
• ✅ Parameter importance analysis
• ✅ Multiple study comparison
• ❌ Requires web browser
• ❌ Not embeddable in reports

Atomizer Matplotlib Plots (Static, High-quality):

• ✅ Publication-quality PNG/PDF exports
• ✅ Customizable styling and annotations
• ✅ Embeddable in reports and papers
• ✅ Offline viewing
• ❌ Not interactive
• ❌ Not real-time

Recommendation: Use both!

• Monitor optimization in real-time with Optuna Dashboard
• Generate final plots with Atomizer visualizer for reports

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Troubleshooting

"No studies found"

Make sure you're pointing to the correct database file:

# Check if optuna_study.db exists
ls studies/*/substudies/*/optuna_study.db

# Use absolute path if needed
optuna-dashboard sqlite:///C:/Users/antoi/Documents/Atomaste/Atomizer/studies/simple_beam_optimization/substudies/full_optimization_50trials/optuna_study.db

Database Locked

If optimization is actively writing to the database:

# Use read-only mode
optuna-dashboard sqlite:///optuna_study.db?mode=ro

Port Already in Use

# Use different port
optuna-dashboard sqlite:///optuna_study.db --port 8888

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Example Workflow

# 1. Start optimization
python studies/simple_beam_optimization/run_optimization.py

# 2. In another terminal, launch Optuna dashboard
cd studies/simple_beam_optimization/substudies/full_optimization_50trials
optuna-dashboard sqlite:///optuna_study.db

# 3. Open browser to http://localhost:8080 and watch optimization live

# 4. After optimization completes, generate static plots
python -m optimization_engine.visualizer studies/simple_beam_optimization/substudies/full_optimization_50trials png pdf

# 5. View final plots
explorer studies/simple_beam_optimization/substudies/full_optimization_50trials/plots

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Optuna Dashboard Screenshots

Optimization History

Parallel Coordinate Plot

Parameter Importance

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Further Reading

• Optuna Dashboard Documentation
• Optuna Visualization Module
• fANOVA Parameter Importance

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Summary

Feature	Optuna Dashboard	Atomizer Matplotlib
Real-time updates	✅ Yes	❌ No
Interactive	✅ Yes	❌ No
Parameter importance	✅ Yes	⚠️ Manual
Publication quality	⚠️ Web only	✅ PNG/PDF
Embeddable in docs	❌ No	✅ Yes
Offline viewing	❌ Needs server	✅ Yes
Multi-study comparison	✅ Yes	⚠️ Manual

Best Practice: Use Optuna Dashboard for monitoring and exploration, Atomizer visualizer for final reporting.