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

👋 Introduction

  • Welcome aboard
  • Introduction to Superwise
  • Quickstart

💭 Let's talk concepts

  • Glossary overview
  • Projects
  • Entities
  • Datasets
  • Models
  • Versions
  • Segments
  • Metrics
  • Metric types
    • Distribution metrics
    • Integrity metrics
    • Activity metrics
    • Drift metrics
    • Performance metrics
  • Policies
  • Incidents
  • Integrations
  • Data ingestion
  • Observability Levels
  • Analytics
  • Data DNA

📔 How-to guides

  • Capabilities overview
  • Connecting
    • 1. Create a project
    • 2. Register a new model
    • 3. Uploading a dataset
    • 4. Creating a version
    • 5. Create a segment
    • 6. Log production predictions
    • 7. Log ground truth / Labels
    • End-to-end examples
    • Collecting data from S3
    • Collecting data from GCS
  • Integrations
    • Email
    • Webhook
    • PagerDuty
    • New Relic
    • Datadog
    • Slack
  • Account management
    • Manage your users
    • Generating tokens
    • Multi-Factor Authentication
    • SSO configuration
    • Audit logs
  • Monitoring
    • Configure policies
  • Configure metrics
    • Performance metrics
    • Drift metrics
  • Sagify integration
  • MLflow integration

💻 References

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

☁️ Deployment

  • Deployment methods
    • On-prem requirements and deployment
  • Security center

🎓 Advanced

  • Consuming metrics via API
  • Retraining Notebook

💁🏻 Support

  • Help!
  • Troubleshooting
  • FAQ 🙋‍♀️
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Configure metrics

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Superwise offers you the ability to create your own metrics as follows:

  • Performance metrics
  • Drift metrics
  • Bias metrics - coming soon

Updated 6 months ago