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HomeGuidesAPI Reference
HomeGuidesAPI ReferenceπŸš€ Start now it's free πŸš€Superwise
HomeGuidesAPI Reference

πŸ‘‹ Introduction

  • Welcome aboard
  • Introduction to Superwise
  • Quickstart

πŸ’­ Let's talk concepts

  • Glossary overview
  • Models
  • Versions
  • Baselines
  • Segments
  • Metrics
    • Distribution metrics
    • Integrity metrics
    • Activity metrics
    • Drift calculations
    • Performance metrics
  • Trends
  • Policies
    • Conditions
    • Segments
    • Scheduling
    • Notifications
  • Incidents
  • Integrations
  • Activity log
  • Observability Levels

πŸ“” 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
  • Troubleshooting
  • Sagify integration
  • MLflow integration

πŸ’» References

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

☁️ Deployment

  • Deployment methods
  • Security center

πŸŽ“ Advanced

  • Consuming metrics via API
  • Retraining Notebook

πŸ’πŸ» Support

  • Help!
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Scheduling

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Set up the time at which the monitoring will start. Make sure you send all your predictions by that time. When the Superwise monitor scans your data, it will not consider predictions sent after that time.

Updated 30 days ago


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