Welcome to cinnamon’s documentation!

CinnaMon is a Python library which allows to monitor data drift on a machine learning system. It provides tools to study data drift between two datasets, especially to detect, explain, and correct data drift.

Contents

• Introduction to CinnaMon
  • ⚡️ Quickstart
  • 🛠 Installation
  • 🔗 Notes
  • 👍 Contributing
  • 📝 License
• Supported Models
  • Model Specific Support
  • Model Agnostic Support

API

• Drift API
  • cinnamon.drift.model_drift_explainer.ModelDriftExplainer
  • cinnamon.drift.adversarial_drift_explainer.AdversarialDriftExplainer
  • cinnamon.drift.abstract_drift_explainer.AbstractDriftExplainer
  • cinnamon.drift.drift_utils.DriftMetricsNum
  • cinnamon.drift.drift_utils.DriftMetricsCat
• Plotting API
  • cinnamon.plot.drift.plot_drift_importance.plot_adversarial_drift_importances
  • cinnamon.plot.drift.plot_drift_importance.plot_tree_based_drift_importances
  • cinnamon.plot.drift.plot_drift_importance.plot_model_agnostic_drift_importances
  • cinnamon.plot.drift.plot_drift.plot_target_drift
  • cinnamon.plot.drift.plot_drift.plot_feature_drift
  • cinnamon.plot.drift.plot_drift.plot_prediction_drift