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HomeGuidesAPI Reference
HomeGuidesAPI Reference🚀 Start now it's free 🚀SUPERWISE Docs
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HomeGuidesAPI Reference

👋 Introduction

  • Welcome aboard
  • Introduction to Superwise
  • Quickstart

💭 Let's talk concepts

  • Glossary overview
  • Models
  • Versions
  • Baselines
  • Segments
  • Metrics
    • Distribution metrics
    • Integrity metrics
    • Activity metrics
    • Drift calculations
    • Performance metrics
  • Policies
  • Incidents
  • Integrations
  • Transactions
  • Observability Levels

📔 How-to guides

  • Capabilities overview
  • Connecting
    • 1. Register a new model
    • 2. Upload a version
    • 3. Create a segment
    • 4. Log production predictions
    • 5. Log ground truth / Labels
    • End-to-end examples
    • Collecting data from S3
  • Integrations
    • Email
    • Webhook
    • PagerDuty
    • New Relic
    • Datadog
    • Slack
  • Account management
    • Manage your users
    • Generating tokens
    • Multi-Factor Authentication
    • SSO configuration
  • Monitoring
    • Drift
    • Data Quality
    • Activity
    • Model performance
    • Custom policies
  • Sagify Integration

💻 References

  • API and SDK Overview
  • REST API
    • API reference guide
  • Python SDK
    • PyPI package
    • Reference guide

☁️ Deployment

  • Deployment methods
  • Security center

🎓 Advanced

  • Consuming metrics via API
  • Retraining Notebook

💁🏻 Support

  • Help!
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Transactions

"I could do this all day"
-Again, the Marvel cinematic universe in general (pick a movie)

Suggest Edits

The transaction entity provides users with the ability to track their logged data and ensure that it arrives properly to the platform. Production data logging can be implemented in batch or stream and via various methods from various sources.

Any data logging creates a new transaction in the Superwise platform.

1800

Updated over 3 years ago