Welcome to bayesian feature selection’s documentation!

Contents:

• Bayesian Feature Selection
  • Features
  • Quick Start
  • CLI Usage
  • Installation
  • Environment Setup (Python 3.12 + CUDA 12)
  • Credits
• Installation
  • Stable release
  • From sources
  • Development installation
  • GPU support
• Usage
  • Quick Start
  • Using DataLoader with CSV Files
  • MCMC vs SVI Inference
  • Feature Selection Methods
  • CLI Usage
  • Configuration via YAML Files
  • Making Predictions
• Tutorial
  • Step 1: Install the Package
  • Step 2: Prepare Data
  • Step 3: Configure the Experiment
  • Step 4: Fit the Model
  • Step 5: Analyze Results
  • Step 6: Make Predictions
  • Step 7: Save and Visualize Results
• Methodology
  • The Horseshoe Prior
  • Regularized Horseshoe Prior
  • GLM Families
  • Feature Selection Criteria
  • Choosing scale_global
  • References
• API Reference
  • Core Model
  • Data Loading
  • Configuration
  • Visualization
• Contributing
  • Types of Contributions
  • Get Started!
  • Pull Request Guidelines
  • Tips
  • Deploying
  • Code of Conduct
• Credits
  • Development Lead
  • Contributors
• History
  • 0.1.0 (2025-02-07)

Indices and tables

• Index

• Module Index

• Search Page