Droplet-Film Model Development

Version 2.0 · Physics-Informed Machine Learning for Gas Well Liquid Loading Prediction

Welcome to the DFT documentation. This site covers installation, usage, API reference, and troubleshooting for the Droplet-Film Model Development project.

Contents

Documentation

• Installation Guide
  • System Requirements
  • Python Environment Setup
  • Package Installation
  • Verification
  • Jupyter Notebooks
  • Data Preparation
  • Common Installation Issues
  • Development Setup
  • Performance and Maintenance
  • Uninstall
  • Installation Checklist
  • Next Steps
• Usage Examples and Tutorials
• DFT Model Tutorial
  • DFT Implementation Overview
  • Basic DFT Setup
  • DFT Data Preparation
  • DFT Model Training
  • Making Predictions with DFT
  • Evaluating DFT Performance
  • Understanding DFT Output (Optional)
• XGBoost Tutorial
  • XGBoost Implementation Overview
  • Basic XGBoost Setup
  • XGBoost Data Preparation
  • XGBoost Model Training
  • XGBoost Hyperparameter Tuning
  • XGBoost Feature Importance Analysis
• PySINDy Tutorial
  • PySINDy Implementation Overview
  • PySINDy Setup and Installation
  • PySINDy Data Preparation
  • PySINDy Model Training
  • PySINDy Model Evaluation
• PySR Tutorial
  • PySR Implementation Overview
  • PySR Setup and Installation
  • PySR Data Preparation
  • PySR Model Training
  • PySR Model Evaluation
• QLattice Tutorial
  • QLattice Implementation Overview
  • QLattice Setup and Installation
  • QLattice Data Preparation
  • QLattice Model Training
  • QLattice Model Evaluation
• Ensemble Methods Tutorial
  • Ensemble Implementation Overview
  • Ensemble Model Creation
  • Model Comparison
• Advanced Usage Examples
  • Custom Alpha Strategy Implementation
  • Production Deployment Example
  • Batch Processing Example
• Performance Optimization
  • Memory-Efficient Processing
  • Parallel Processing
• API Reference
  • Overview
  • Core Classes and Modules
  • DFT Class — Core Physics Model
  • Helm Class — Data Management
  • QLatticeWrapper Class — Symbolic Regression
  • Data Format Requirements
  • Data Validation, Error Handling, Performance
  • Support and Resources
• Troubleshooting Guide

Indices and tables

• Index

• Search Page

Quick links

• Installation Guide — Setup and installation

• Usage Examples and Tutorials — Tutorials and examples

• API Reference — API reference

• Troubleshooting Guide — Common issues and solutions