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Remove docstrings
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pymc_extras/inference/laplace_approx/laplace.py

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@@ -282,16 +282,6 @@ def fit_laplace(
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compatible with the ArviZ library.
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draws: int, default: 500
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The number of samples to draw from the approximated posterior. Totals samples will be chains * draws.
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on_bad_cov : str, one of 'ignore', 'warn', or 'error', default: 'ignore'
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What to do when ``H_inv`` (inverse Hessian) is not positive semi-definite.
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If 'ignore' or 'warn', the closest positive-semi-definite matrix to ``H_inv`` (in L1 norm) will be returned.
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If 'error', an error will be raised.
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zero_tol: float
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Value below which an element of the Hessian matrix is counted as 0.
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This is used to stabilize the computation of the inverse Hessian matrix. Default is 1e-8.
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diag_jitter: float | None
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A small value added to the diagonal of the inverse Hessian matrix to ensure it is positive semi-definite.
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If None, no jitter is added. Default is 1e-8.
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optimizer_kwargs
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Additional keyword arguments to pass to the ``scipy.optimize`` function being used. Unless
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``method = "basinhopping"``, ``scipy.optimize.minimize`` will be used. For ``basinhopping``,

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