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| Argument | Type | Default | Description | |----------|------|---------|-------------| | n_factors | int | | Number of latent factors to infer. | | method | 'em', 'newton', 'vi', 'mcmc' | 'em' | Optimization / inference algorithm. | | max_iter | int | 500 | Maximum iterations. | | tol | float | 1e-5 | Convergence tolerance on log‑likelihood. | | rotation | 'varimax', 'promax', None | None | Post‑hoc rotation to aid interpretability. | | regularizer | 'l1', 'l2', 'elasticnet', None | None | Penalty on loadings. | | alpha | float | 0.0 | Strength of regularizer (if any). | | batch_size | int | None | Mini‑batch size for stochastic EM. | | device | 'cpu', 'cuda' | 'cpu' | Compute device (requires torch ). | Some users search for a "Faphouse GitHub link"