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#155: Added a Notebook Link Checker to Github Actions (#156)
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tkilias authored Jan 31, 2024
1 parent 0eb07f1 commit 13b6fb5
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22 changes: 22 additions & 0 deletions .github/workflows/check_notebook_links.yaml
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name: Check Notebook Links

on:
push:
branches-ignore:
- "main"

jobs:
check_notebook_links:
runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v3
with:
fetch-depth: 0
- name: Setup Python & Poetry Environment
uses: ./.github/actions/prepare_poetry_env

- name: Run build ai-lab tests
run: >
poetry run pytest --check-links exasol/ds/sandbox/runtime/ansible/roles/jupyter/files/notebook/
1 change: 1 addition & 0 deletions doc/changes/changes_0.1.0.md
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Expand Up @@ -34,6 +34,7 @@ Version: 0.1.0
* #255: Renamed data science sandbox to exasol-ai-lab
* #145: Added Docker Test Library to prepare Notebook tests
* #151: Setup SageMaker Credentials for notebook testing in the CI
* #155: Added a Notebook Link Checker to Github Actions

## Bug Fixes

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"source": [
"# Model deployment\n",
"\n",
"In this notebook, we will deploy the binary classification model created in the [previous notebook](train_model.ipynb) to a real-time AWS SageMaker endpoint. We will then use the model to make predictions on a test dataset. Please refer to the SageMaker Extension <a href=\"https://github.com/exasol/sagemaker-extension/blob/main/doc/user_guide/user_guide.md#prediction-on-aws-sagemaker-endpoint\" target=\"_blank\" rel=\"noopener\">User Guide</a> for a detailed description of this process.\n",
"In this notebook, we will deploy the binary classification model created in the [previous notebook](sme_train_model.ipynb) to a real-time AWS SageMaker endpoint. We will then use the model to make predictions on a test dataset. Please refer to the SageMaker Extension <a href=\"https://github.com/exasol/sagemaker-extension/blob/main/doc/user_guide/user_guide.md#prediction-on-aws-sagemaker-endpoint\" target=\"_blank\" rel=\"noopener\">User Guide</a> for a detailed description of this process.\n",
"\n",
"<b>Important! Please make sure you perform the last step - deletion of the endpoint. Leaving the endpoint in the cloud will incur continuous charges by AWS.</b>\n",
"\n",
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"metadata": {},
"source": [
"The extension requires a number of initialization steps.\n",
"Please proceed to the [extension initialization](sme_int.ipynb) notebook."
"Please proceed to the [extension initialization](sme_init.ipynb) notebook."
]
},
{
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