latest
Search
⌃K
Links

Examples

Sample notebooks and tutorials

Sample notebooks

These simple examples show what Evidently can do out of the box. Head to Colab examples to see the pre-rendered reports.
Title
Jupyter notebook
Colab notebook
Contents
Evidently Test Presets
link
link
All pre-built Test Suites:
  • Data Drift
  • Data Stability
  • Data Quality
  • NoTargetPerformance
  • Regression
  • Classification (Multi-class, binary, binary top-K)
Evidently Tests
link
link
  • All individual Tests (50+) that one can use to create a custom Test Suite.
  • How to set simple test parameters.
Evidently Metric Presets
link
link
All pre-built Reports:
  • Data Drift
  • Target Drift
  • Data Quality
  • Regression
  • Classification
Evidently Metrics
link
link
  • All individual metrics (30+) that one can use to create a custom Report.
  • How to set simple metric parameters.

Tutorials

To better understand the use cases (such as model evaluation and monitoring), refer to the detailed tutorials accompanied by the blog posts.
Title
Code example
Blog post
Understand ML model decay in production (regression example)
Compare two ML models before deployment (classification example)
Evaluate and visualize historical data drift
Monitor NLP models in production
Colab

Integrations

To see how to integrate Evidently in your prediction pipelines and use it with other tools, refer to the integrations.