needs: deploy-runner

runs-on: [self-hosted, cml-gpu]

container:

image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311

image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311-b

options: --gpus all

steps:

- uses: actions/checkout@v3

needs: deploy-runner

runs-on: [self-hosted, cml-gpu]

container:

image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311

image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311-b

options: --gpus all

steps:

- uses: actions/checkout@v3

- name: nvidia Drivers

shell: bash -l {0}

run: nvidia-smi

- name: Install sphinx-reredirects

shell: bash -l {0}

run: pip install sphinx-reredirects

- name: Display Conda Environment Versions

shell: bash -l {0}

run: conda list

needs: deploy-runner

runs-on: [self-hosted, cml-gpu]

container:

image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311

image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311-b

options: --gpus all

steps:

- name: Checkout

- pip:

- jupyter-book==0.15.1

- docutils==0.17.1

- quantecon-book-theme==0.6.0

- quantecon-book-theme==0.7.0

- sphinx-reredirects==0.1.3

- sphinx-tojupyter==0.3.0

- sphinxext-rediraffe==0.2.7

- sphinx-exercise==0.4.1

y_like = pmc.Normal('y_obs', mu=yhat, sigma=sigma, observed=y[1:])

```

[pmc.sample](https://www.pymc.io/projects/docs/en/latest/api/generated/pymc.sample.html?highlight=sample#pymc.sample) by default uses the NUTS samplers to generate samples as shown in the below cell:

[pmc.sample](https://www.pymc.io/projects/docs/en/v5.10.0/api/generated/pymc.sample.html#pymc-sample) by default uses the NUTS samplers to generate samples as shown in the below cell:

```{code-cell} ipython3

:tag: [hide-output]