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- ---
- jupytext:
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- extension: .md
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- display_name: Python 3
- language: python
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- ---
- (ch:intro)=
- # Introduction
- In this chapter, we do blah.
- Specifically
- - foo
- - bar.
- - baz
- For more details, see
- {ref}`ch:hmm` and {cite}`Sarkka13`.
- ## What are state space models?
- ## Python
- We\'re now ready to start coding.
- ```{code-cell}
- from matplotlib import rcParams, cycler
- import matplotlib.pyplot as plt
- import numpy as np
- plt.ion()
- ```
- ```{code-cell}
- # Fixing random state for reproducibility
- np.random.seed(19680801)
- N = 10
- data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]
- data = np.array(data).T
- cmap = plt.cm.coolwarm
- rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))
- from matplotlib.lines import Line2D
- custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),
- Line2D([0], [0], color=cmap(.5), lw=4),
- Line2D([0], [0], color=cmap(1.), lw=4)]
- fig, ax = plt.subplots(figsize=(10, 5))
- lines = ax.plot(data)
- ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);
- ```
- ```{code-cell}
- import matplotlib.pyplot as plt
- import numpy as np
- import jax
- import jax.numpy as jnp
- print(jax.devices())
- ```
- ## Images
- <!---
- 
- --->
- <img src="https://github.com/probml/probml-notebooks/blob/main/images/cat_dog.jpg"
- style="height:200">
- ```{figure} /images/cat_dog.jpg
- :scale: 50%
- :name: cat_dog
- A photo of a cat and a dog.
- ```
- ```{figure} /images/cat_dog.jpg
- :scale: 50%
- :name: cat_dog2
- Another photo of a cat and a dog.
- ```
- In {numref}`Figure %s <cat_dog>` we show catdog.
- In {numref}`Figure %s <cat_dog2>` we show catdog2, its twin.
- ## Math
- We have $E= mc^2$, and also
- ```{math}
- :label: foo
- a x^2 + bx+ c = 0
- ```
- From {eq}`foo`, it follows that
- $$
- \begin{align}
- 0 &= a x^2 + bx+ c \\
- 0 &= a x^2 + bx+ c
- \end{align}
- $$
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