Review and use sample Jupyter Notebooks that use the Python client library for model evaluations to demonstrate features and tasks.
When you use a sample notebook to demonstrate features and tasks with the Python client, you must be comfortable with coding in a Jupyter Notebook. A Jupyter Notebook is a web-based environment for interactive computing. You can run small pieces of code that process your data, and then immediately view the results of your computation. With sample Jupyter Notebooks, you can complete tutorials to demonstrate tasks such as building, training, and deploying models and configuring model evaluations.
Sample notebooks
View or run the following Jupyter notebooks to learn how to complete different tasks:
Next steps
- To learn more about using notebook editors, see Notebooks.
- To learn more about working with notebooks, see Coding and running notebooks.
- To learn more about authenticating in a notebook, see Authenticating.