Release 0.3.0 — Exponential Regression & Static Forecasting

📦 Release 0.3.0 — Exponential Regression & Static Forecasting

✨ What's New

➕ Exponential Regression Support

• Added new regression model: Exponential Regression
• Formula used: y = a * e^(b * x)
• Suitable for modeling exponential growth or decay patterns.

⚡️ Static Forecasting

• You can now use the forecasting service statically:

  use MykolaVuy\Forecast\ForecastService;
  
  $data = [
      1 => 10,
      2 => null,
      3 => 30,
      4 => 40,
  ];
  
  $result = ForecastService::predict($data, 'exponential');

• No need to instantiate ForecastService when you just want a quick forecast.

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🛠 Improvements

• Cleaner internal structure and improved extensibility.
• Enhanced edge case handling for interpolation mode.
• Expanded unit test coverage across all regression types.
• Improved developer experience in usage examples.

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📁 Examples

Multiple usage examples now available in /examples/ directory:

• calculate.php — Run all regressions on predefined datasets
• exponential_example.php, logarithmic_example.php, etc. — Per-regression demo files
• datasets.php — Organized data arrays for forecasting examples

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📚 Documentation Updated

• README now reflects:
  • ✅ Exponential regression support
  • ✅ Static usage via ForecastService::predict()
  • ✅ Expanded table of regression types
  • ✅ Richer code examples for onboarding

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✅ Requirements

• PHP 8.1 or higher
• Composer

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🧪 Run Tests

./vendor/bin/phpunit

Test files are located in the tests/ directory.

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🔗 Useful Links

• GitHub Repository
• Composer Package

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Thank you for using ForecastRegressions!
⭐ If you find this project helpful, consider starring the repository or contributing.