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pymc/distributions/timeseries.py

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@@ -231,7 +231,7 @@ class GaussianRandomWalk(distribution.Continuous):
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.. warning:: init will be cloned, rendering them independent of the ones passed as input.
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steps : tensor_like of int, optional
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steps : int, optional
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Number of steps in Gaussian Random Walk (steps > 0). Only needed if shape is not
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provided.
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"""

pymc/sampling.py

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@@ -2277,7 +2277,7 @@ def draw(
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Parameters
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----------
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vars : RandomVariable or iterable of RandomVariable
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vars : TensorVariable or iterable of TensorVariable
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A variable or a list of variables for which to draw samples.
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draws : int, default 1
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Number of samples needed to draw.

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