Jump to Content
Arthur Scope V3 Documentation
Product DocumentationAPI and Python SDK ReferenceRelease Notes
Schedule a DemoArthur Scope V3 Documentation
Product Documentation
Schedule a Demo
Product DocumentationAPI and Python SDK ReferenceRelease Notes

Welcome to Arthur

  • Welcome to Arthur Scope!
  • Pages in the Arthur Scope Platform
  • Examples
  • Arthur SDK
  • Arthur API

Model Types

  • Model Input / Output Types
  • Tabular
    • Binary Classification
    • Multiclass Classification
    • Regression
  • Text
    • Binary Classification
    • Multiclass Classification
    • Regression
    • Token Sequence (LLM)
  • Image
    • Binary Classification
    • Multiclass Classification
    • Regression
    • Object Detection
  • Ranked List (Recommender Systems)
  • Time Series

Core Concepts

  • Metrics
    • Performance Metrics
    • Data Drift Metrics
    • Fairness Metrics
    • User-Defined Metrics
  • Alerting
    • Managing Alerts
    • Alert Summary Reports
  • Enrichments
    • Anomaly Detection
    • Bias Mitigation
    • Explainability
    • Hot Spots
  • Token Likelihood
  • Versioning

Model Onboarding

  • Quickstart
    • CV Onboarding
    • NLP Onboarding
    • Generative Text
    • Ranked List Outputs Onboarding
    • Time Series Onboarding
    • Registering A Model with the API
  • Data Preparation for Arthur
  • Creating Arthur Model Object
    • Registering Model Attributes Manually
  • Enabling Enrichments
    • Assets Required For Explainability
    • Troubleshooting Explainability
  • Sending Inferences
    • Sending Historical Data
  • Sending Ground Truth

Integrations and Examples

  • Alerting Services
    • Email
    • PagerDuty
    • ServiceNow
  • Data Pipelines
    • SageMaker
  • ML Platforms
    • Langchain
  • Single Sign On (SSO)
    • OIDC
    • SAML
  • Spark ML

Arthur Query Guide

  • Overview
  • Creating Queries
    • Fundamentals
    • Common Queries Quickstart
  • Querying Functions
    • Default Evaluation Functions
    • Aggregation Functions
    • Transformation Functions
    • Composing Advanced Functions
  • Enrichments + Data Drift
    • Querying Data Drift
    • Querying Explainability
  • Advanced Walk Throughs
    • Grouped Inference Queries

Resources

  • Arthur Scope FAQ
  • Glossary
    • Model Metric Definitions
    • Arthur Algorithms

Platform Administration

  • Installation Overview
    • On-Prem Deployment Requirements
    • Platform Readiness for Existing Cluster Installs
    • Virtual Machine Installation
    • Configuring for High Availability
    • Externalizing the Relational Database
  • Installing Kubernetes
    • Installing Arthur Pre-requisites
    • Deploying on Amazon AWS EKS
    • Kubernetes Cluster (K8s) Install with Namespace Scope Privileges
    • Online Kubernetes Cluster (K8s) Install
    • Airgap Kubernetes Cluster (K8s) Install
    • Airgap Kubernetes Cluster (K8s) Install with CLI
  • Platform Access Control
    • Access Control
    • Default Access Control
    • Custom RBAC
    • Integrations
  • Ongoing Platform Maintenance
    • What does ongoing maintenance look like?
    • Audit Log
    • Administration
    • Organizations and Users
    • Upgrading
    • Monitoring Best Practices
  • Platform Resources
    • Config Template
    • Exporting Platform Configurations
    • Full Directory of Arthur Permissions
    • Arthur Permissions by Standard Roles
    • Arthur Permissions by Endpoint
  • Backup and Restore
    • Pre-Requisites
    • Backing Up the Arthur Platform
    • Restoring the Arthur Platform
    • Appendix
Powered by 

Upgrading

Suggest Edits

Arthur's platform installer leverages an open-source solution called Kubernetes Off-The-Shelf (KOTS).
Please refer to the below links for upgrading the platform components.

  • Upgrading the platform application
  • Upgrading the Admin Console
  • Upgrading the embedded Kubernetes cluster for VM install

Updated over 1 year ago