Examples
Sample notebooks and tutorials
Last updated
Sample notebooks and tutorials
Last updated
Here you can find simple examples on toy datasets to quickly explore what Evidently can do right out of the box. Each example shows how to create a default Evidently dashboard, a JSON profile and an HTML report.
| Report | Jupyter notebook | Colab notebook | Data source |
|---|---|---|---|
To better understand potential use cases for Evidently (such as model evaluation and monitoring), refer to the detailed tutorials accompanied by the blog posts.
| Title | Jupyter notebook | Colab notebook | Blog post | Data source |
|---|---|---|---|---|
To see how to integrate Evidently in your prediction pipelines and use it with other tools, refer to the integrations.
Data Drift + Categorical Target Drift (Multiclass)
Iris plants sklearn.datasets
Data Drift + Categorical Target Drift (Binary)
Breast cancer sklearn.datasets
Data Drift + Numerical Target Drift
California housing sklearn.datasets
Regression Performance
Bike sharing UCI: link
Classification Performance (Multiclass)
Iris plants sklearn.datasets
Probabilistic Classification Performance (Multiclass)
Iris plants sklearn.datasets
Classification Performance (Binary)
Breast cancer sklearn.datasets
Probabilistic Classification Performance (Binary)
Breast cancer sklearn.datasets
Data Quality
Bike sharing UCI: link
Monitor production model decay
Bike sharing UCI: link
Compare two models before deployment
HR Employee Attrition: link
Evaluate and visualize historical drift
Bike sharing UCI: link
Create a custom report (tab) with PSI widget for drift detection
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California housing sklearn.datasets