Examples and tutorials

To see the code and select functionality, browse the sample notebooks.

To better understand potential use cases (such as model evaluation and monitoring), refer to the detailed tutorials accompanied by the blog posts.

Sample Jupyter notebooks

Example (link)

Dataset source

Dashboards

Save as HTML

Column Mapping

Datetime specification

JSON Profiles

Iris Dataset

Data Drift, Categorical Target Drift, Classification Performance, Probabilistic Classification Performance

yes

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Data Drift, Categorical Target Drift, Classification Performance, Probabilistic Classification Performance

Boston Housing

Data Drift, Numerical Target Drift

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yes

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Data Drift, Numerical Target Drift

Breast Cancer

Data Drift, Probabilistic Classification Performance

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yes

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Bike Demand

UCI (link)

Regression Performance

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yes

yes

Regression Performance

Tutorial - "How to break a model in 20 days".

In this tutorial, we train a demand prediction model, simulate the production use, and analyze its gradual decay. The tutorial uses the Data Drift, Numerical Target Drift, and Regression Performance reports.

Tutorial - "What Is Your Model Hiding?"

In this tutorial, we train two classification models that predict employee attrition. Then, we compare and evaluate the differences in their performance despite the similar ROC AUC. The tutorial uses the Probabilistic Classification report.