Generate a data drift report comparing reference and current datasets with Evidently

domain: docs.evidentlyai.com · 5 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗

Steps

  1. Install evidently and load a reference dataset and a current (production) dataset as pandas DataFrames
  2. Build a report with Report([DataDriftPreset()]) and run it with .run(current_data, reference_data)
  3. Optionally set include_tests=True to get pass/fail drift tests alongside the metrics
  4. Explicitly map non-numeric/non-categorical columns (e.g. text) via the library's Data Definition, since auto-detection only covers numerical and categorical types
  5. Export or view the report and check the overall dataset drift verdict alongside per-column drift results

Known gotchas

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