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EOG-HPO Client SDK for intelligent hyperparameter recommendations

Project description

EOG-HPO Client SDK

The official Python client for the EOG-HPO Hyperparameter Optimization Cloud Service.

Installation

pip install eaheog

For visualization support:

pip install eaheog[viz]

Quick Start

from eaheog import EOGHPOClient

# Initialize client with your API endpoint
client = EOGHPOClient(base_url="https://your-api-gateway-url.amazonaws.com/prod")

# Authenticate
client.login()

# Define your objective function (runs on YOUR machine)
def train_model(config):
    # Your training code here
    lr = config['learning_rate']
    batch_size = int(config['batch_size'])
    
    # Train and evaluate
    score = your_training_function(lr, batch_size)
    return score

# Define search space
search_space = {
    'learning_rate': (0.0001, 0.1),
    'batch_size': (16, 256),
    'dropout': (0.0, 0.5)
}

# Run optimization
best = client.optimize(
    objective_function=train_model,
    search_space=search_space,
    n_iterations=50
)

print(f"Best config: {best['config']}")
print(f"Best score: {best['score']}")

Configuration

Method 1: Environment Variables (Recommended)

export EOGHPO_BASE_URL="https://your-api-gateway.amazonaws.com/prod"
export EOGHPO_API_KEY="your-api-key"  # Optional: set after login

Method 2: Initialize with Parameters

client = EOGHPOClient(
    base_url="https://your-api-gateway.amazonaws.com/prod",
    api_key="your-api-key"  # Optional
)

Method 3: Configuration File

The SDK automatically saves credentials to ~/.eaheog/credentials.json after login.

Features

  • โœ… Cloud-based Bayesian Optimization - Smart hyperparameter recommendations
  • ๐Ÿ’ฐ Cost Estimation - Know costs before running
  • ๐Ÿ“Š Live Visualization - Real-time progress tracking (with [viz] install)
  • ๐Ÿ” Secure Authentication - Token-based auth with local credential storage
  • ๐Ÿ”„ Session Management - Resume interrupted optimization runs
  • ๐Ÿ“ Export Results - Save optimization history to CSV

Authentication

Sign Up

client = EOGHPOClient(base_url="https://your-api-endpoint.com")
client.signup()

Login

client.login()  # Interactive login

Logout

client.logout()  # Clear stored credentials

Advanced Usage

Cost Estimation

# Estimate costs before starting
estimate = client.estimate_cost(
    n_iterations=100,
    search_space=search_space
)
print(f"Estimated cost: ${estimate['estimated_cost']}")

Session Management

# Start a session
session_id = client.start_optimization(
    search_space=search_space,
    n_iterations=100
)

# Resume later
client.session_id = session_id
status = client.get_session_status()

Export Results

# Export optimization history
client.export_results("my_results.csv")

Web Dashboard

# View progress in browser
client.get_web_dashboard_url()

Requirements

  • Python >= 3.7
  • requests >= 2.25.0

Optional (for visualization):

  • pandas >= 1.3.0
  • numpy >= 1.21.0
  • matplotlib >= 3.4.0
  • ipython >= 7.0.0

API Endpoints

The client expects your AWS API Gateway to expose these endpoints:

  • POST /auth/signup - User registration
  • POST /auth/login - Authentication
  • POST /estimate - Cost estimation
  • POST /start - Start optimization session
  • POST /job/{session_id}/next - Get next configuration
  • POST /job/{session_id}/result - Report result
  • GET /job/{session_id}/status - Get session status

Architecture

User's Machine                     AWS Cloud
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”               โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                 โ”‚               โ”‚                  โ”‚
โ”‚  Your Training  โ”‚               โ”‚  API Gateway     โ”‚
โ”‚     Code        โ”‚               โ”‚                  โ”‚
โ”‚                 โ”‚               โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜                        โ”‚
         โ”‚                                 โ”‚
         โ”‚  EOGHPOClient                   โ”‚
         โ”‚  โ€ข Get config                   โ–ผ
         โ”‚  โ€ข Train locally         โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
         โ”‚  โ€ข Report result         โ”‚   Lambda     โ”‚
         โ”‚                          โ”‚  Functions   โ”‚
         โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค              โ”‚
                                    โ”‚ โ€ข auth_brokerโ”‚
                                    โ”‚ โ€ข optimizer  โ”‚
                                    โ”‚ โ€ข payments   โ”‚
                                    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                                           โ”‚
                                           โ–ผ
                                    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
                                    โ”‚  Firestore   โ”‚
                                    โ”‚   Database   โ”‚
                                    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Security

  • API keys are stored locally in ~/.eaheog/credentials.json with restricted permissions (600)
  • All API calls use HTTPS
  • Bearer token authentication
  • Credentials are never sent to third parties

Troubleshooting

Connection Errors

# Verify your base URL is correct
client = EOGHPOClient(base_url="https://your-api-gateway.amazonaws.com/prod")

# Test connection
try:
    client.login()
except ConnectionError as e:
    print(f"Cannot connect: {e}")
    print("Verify your API Gateway URL is correct")

Authentication Issues

# Clear stored credentials and re-login
client.logout()
client.login()

Timeout Errors

# Increase timeout (default: 30s)
client.timeout = 60

Support

License

MIT License - see LICENSE file for details

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