Droplet-Film Model Development

Documentation

  • Installation Guide
    • System Requirements
      • Minimum
      • Recommended
    • Python Environment Setup
      • Step 1 — Install Python
      • Step 2 — Create Virtual Environment
      • Step 3 — Upgrade pip
    • Package Installation
      • Method 1: From repository (recommended)
      • Method 2: Manual install
      • Method 3: Requirements file
    • Verification
      • Step 1 — Test basic imports
      • Step 2 — Test project modules
      • Step 3 — Quick functionality test
    • Jupyter Notebooks
      • Step 1 — Install Jupyter
      • Step 2 — Launch and open notebooks
    • Data Preparation
      • Required CSV columns
      • Validate your data
    • Common Installation Issues
      • Permission errors
      • Version conflicts
      • Memory errors
      • Network / download failures
      • Compilation errors (Windows)
      • QLattice connection
    • Development Setup
      • Code quality and tests
      • IDE (VS Code)
    • Performance and Maintenance
      • Upgrade packages
      • Optional: Intel MKL
      • Backup and cleanup
    • 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
      • Class definition
      • Constructor
      • Methods — fit
      • Methods — predict
      • Methods — _eq (physics equation)
      • Methods — _loss
    • Helm Class — Data Management
      • Class definition
      • Constructor
      • Methods — evolv_model
    • QLatticeWrapper Class — Symbolic Regression
      • Constructor
    • Data Format Requirements
    • Data Validation, Error Handling, Performance
    • Support and Resources
  • Troubleshooting Guide
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© Copyright 2026, Droplet-Film Model Development Project. Last updated on 2026-04-02.