Faphouse Github Link __link__

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faphouse/ │ ├─ faphouse/ # Core package │ ├─ __init__.py │ ├─ model.py # FactorAnalysis class │ ├─ inference/ # EM, Newton, VI, MCMC implementations │ ├─ utils/ # Linear algebra helpers, rotations │ ├─ datasets/ # Data loaders & synthetic generator │ └─ viz/ # Plotting utilities │ ├─ examples/ # Jupyter notebooks ├─ tests/ # pytest suite ├─ docs/ # Sphinx source └─ cli/ # CLI entry points (fap) faphouse/ │ ├─ faphouse/ # Core package │

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| Method | Signature | Returns | Description | |--------|-----------|---------|-------------| | fit | fit(X, y=None) | self | Estimate model parameters from data X . | | transform | transform(X) | np.ndarray | Project X into latent space (scores). | | inverse_transform | inverse_transform(scores) | np.ndarray | Reconstruct observations from latent scores. | | score | score(X) | float | Log‑likelihood of X under the fitted model. | | rotate | rotate(method='varimax') | self | Apply rotation in‑place. | | save | save(path) | — | Serialize model to disk. | | load | @classmethod load(path) | FactorAnalysis | Load a previously saved model. |