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Fix docstrings
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pymc/distributions/timeseries.py

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@@ -127,24 +127,17 @@ def rng_fn(
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class GaussianRandomWalk(distribution.Continuous):
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r"""Random Walk with Normal innovations
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Notes
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-----
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init is currently drawn from a Normal distribution with the same sigma as the innovations
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Parameters
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----------
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mu: tensor_like of float
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mu : tensor_like of float
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innovation drift, defaults to 0.0
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sigma: tensor_like of float, optional
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sigma > 0, innovation standard deviation, defaults to 0.0
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init: Scalar PyMC distribution
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Scalar distribution of the initial value, created with the `.dist()` API. Defaults to
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Normal with same `mu` and `sigma` as the GaussianRandomWalk
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steps: int
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Number of steps in Gaussian Random Walks
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size: int
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Number of independent Gaussian Random Walks
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sigma : tensor_like of float, optional
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sigma > 0, innovation standard deviation, defaults to 1.0
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init : Univariate PyMC distribution
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Univariate distribution of the initial value, created with the `.dist()` API.
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Defaults to Normal with same `mu` and `sigma` as the GaussianRandomWalk
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steps : int
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Number of steps in Gaussian Random Walks (steps > 0).
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"""
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rv_op = gaussianrandomwalk

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