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1 parent 92aae53 commit 18362faCopy full SHA for 18362fa
pymc/distributions/timeseries.py
@@ -104,7 +104,7 @@ def rng_fn(
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# If size is None then the returned series should be (*implied_dims, 1+steps)
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if size is None:
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- # When init is larger than mu or sigma ensure the distribution has the right shape, (*init.shape, nsteps)
+ # broadcast parameters with each other to find implied dims
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bcast_shape = np.broadcast_shapes(
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np.asarray(mu).shape,
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np.asarray(sigma).shape,
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