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Update pymc/smc/sample_smc.py
Co-authored-by: Oriol Abril-Pla <[email protected]>
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pymc/smc/sample_smc.py

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@@ -65,7 +65,7 @@ def sample_smc(
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Starting point in parameter space. It should be a list of dict with length `chains`.
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When None (default) the starting point is sampled from the prior distribution.
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model : Model (optional if in ``with`` context).
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random_seed : int, array_like of int, RandomState or Generator, optional
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random_seed : int, array_like of int, RandomState or numpy_Generator, optional
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Random seed(s) used by the sampling steps. If a list, tuple or array of ints
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is passed, each entry will be used to seed each chain. A ValueError will be
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raised if the length does not match the number of chains.

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