Saving a trained CISS-VAE model | Loading a saved model and imputing data

Per-cluster Summary | Missingness Heatmap | By-cluster imputation loss function

Understanding the 'Imputable' matrix

Installing package | Ensuring correct virtual environment for reticulate | Virtual environment helper function | (optional) Installing other python packages | (optional) Use check_devices() to see available gpu devices | Quickstart | Run CISSVAE with Training History and Progress Tracking | Example Dataset | Explanation of run_cissvae() Parameters | Running the imputation | Clustering Features by Missingness Patterns | Using Pre-computed Missingness Proportion Matrix | Advanced Hyperparameter Optimization with Autotune | Understanding Parameter Types | Layer Placement Strategies

What is Optuna Dashboard? | Creating an Optuna Dashboard with the Autotune Function

Prerequisites | Method 1: Creating Virtual Environment with R (reticulate) | Step 1: Install reticulate (if not already installed) | Step 2: Check available Python versions | Installing Python via reticulate (if needed) | Step 3: Create the virtual environment | Step 4: Activate the environment | Step 5: Install required packages | Step 6: Verify installation | Method 2: Creating Virtual Environment from Command Line | Step 1: Open terminal/command prompt | Step 2: Create virtual environment | Step 3: Activate the environment | Step 4: Upgrade pip and install packages | Step 5: Verify installation | Step 6: Connect R to your environment | Alternative: Using Conda Environment | Command Line Approach: | R Approach: | Troubleshooting Common Issues | Issue 1: "Python not found" | Issue 2: "Permission denied" errors | Issue 3: Package installation fails | Issue 4: CISS-VAE import fails in R | Issue 5: Environment not persisting between R sessions