Hyperparameters

Feature Selection Hyperparameters

1. top_var_genes:

   • Default: 2000

   • Recommendation: Increase if gene selection is insufficient.

2. p_value_threshold:

   • Default: 0.05

   • Recommendation: Adjust based on significance needs.

3. top_gene_pairs:

   • Default: 2000

Model Training Hyperparameters

1. alphas:

   • Balances loss components during training.

2. n_epochs:

   • Increase for better convergence.

3. lr:

   • Lower values ensure stable convergence.