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fix docstring
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bayesflow/approximators/continuous_approximator.py

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@@ -662,7 +662,7 @@ def compositional_sample(
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Dictionary of conditioning variables as NumPy arrays with shape
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(n_datasets, n_compositional_conditions, ...).
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compute_prior_score : Callable[[Mapping[str, np.ndarray]], np.ndarray]
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A function that computes the log probability of samples under the prior distribution.
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A function that computes the score of the log prior distribution.
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split : bool, default=False
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Whether to split the output arrays along the last axis and return one column vector per target variable
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samples.

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