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README.md

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@@ -114,7 +114,7 @@ for the case of an HMM with Gaussian emissions. (See [this
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notebook](https://github.com/probml/dynamax/blob/main/docs/notebooks/hmm/gaussian_hmm.ipynb)
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for a runnable version of this code.)
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``` {.python}
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```python
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import jax.numpy as jnp
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import jax.random as jr
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import matplotlib.pyplot as plt
@@ -147,7 +147,7 @@ print(post.smoothed_probs.shape) # (1000, 3)
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JAX allows you to easily vectorize these operations with `vmap`.
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For example, you can sample and fit to a batch of emissions as shown below.
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``` {.python}
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```python
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from functools import partial
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from jax import vmap
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