Examples
Sample notebooks and tutorials
Sample notebooks
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 |
|---|---|---|---|
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 |
Tutorials
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 |
|---|---|---|---|---|
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 | --- | California housing sklearn.datasets |
Integrations
To see how to integrate Evidently in your prediction pipelines and use it with other tools, refer to the integrations.
pageIntegrationsLast updated