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docs/source/index.md

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@@ -65,7 +65,7 @@ Fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fa
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```{code-block} python
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import pymc3 as pm
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import pymc as pm
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X, y = linear_training_data()
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with pm.Model() as linear_model:

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