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Synthetic Data SDKREST API ↗Tutorials
  • INTRODUCTION
  • Welcome
  • Quick start
    • Datasets
    • Connectors
    • Generators
    • Synthetic datasets
    • Context processing in multi-table datasets
    • Privacy protection
    • What are credits?
    • What is data for everyone?
    • What is mock data?
    • What is synthetic data?
  • Best practices
  • PLATFORM
  • Assistant
    • Artifacts
    • Chats
    • Configuration
    • Prompts
    • Python sessions
  • RESOURCES
  • Datasets
    • Create a dataset
    • Manage datasets
    • Prepare your dataset
    • Public datasets
  • Generators
    • Tabular synthetic data
    • Prepare your data
      • CSV requirements
      • Privacy best practices for original data
    • Train a new generator
      • Add data
      • Set table relationships
        • Two-table scenario
        • Multi-table scenario
        • Manage primary keys
        • Relationship diagram
      • Set encoding types
      • Improve model accuracy
      • Speed up training
      • Configure time-series models
      • Fine-tune privacy mechanisms
      • Enable differential privacy
      • Enable flexible generation
    • Evaluate generator quality
    • Export and import generators
    • Manage generators
    • Live-probe generators
    • Fine-tuning LLMs
    • _RARE_ values
  • Connectors
    • Create a connector
      • Azure Blob Storage
      • Google Cloud Storage
      • AWS S3 Storage
      • Google BigQuery
      • Databricks
      • MariaDB
      • Microsoft SQL Server
      • MySQL
      • Oracle Database
      • PostgreSQL
      • Snowflake
      • Apache Hive
      • Connector access types
      • Use as a data source
      • Use as a data destination
      • Use a local database
    • Manage connectors
  • Synthetic datasets
    • Generate a new synthetic dataset
    • Select a compute
    • Set sample size and temperature
    • Rebalance columns
    • Data imputation
    • Fair synthetic data
    • Conditional simulation
    • Deliver synthetic data
    • Evaluate synthetic data quality
    • Manage synthetic datasets
  • FEATURES
  • Organizations
    • Create an organization
    • Edit organization settings
    • Manage resources
    • Manage members
    • Delete an organization
    • Roles and permissions
  • User profiles
  • Public and private resources
  • Search
  • Usage and credits
  • Notifications
  • ADMINISTRATION
    • Architecture
    • Requirements
    • Hardware profiling
    • Configure
      • Compute resources
      • External PostgreSQL database
      • Internal image repository
      • Domain TLS certificate
      • Ingress controllers
        • HAProxy
        • NGINX
        • Istio Virtual Service
    • Deploy
      • Deployment checklist
      • MOSTLY AI Helm chart
      • Deploy to AWS EKS
      • Deploy to OpenShift
      • Deploy to Google GKE
      • Deploy to Azure AKS
      • Deploy to minikube
      • Deploy via AWS Marketplace
    • Troubleshoot
      • Common issues
      • AWS EKS
      • OpenShift
      • Azure AKS
      • minikube
    • Compliance
    • Computes
    • Models
    • Users
    • Identity providers
    • Storage policy
    • Backup and restore
  • RELEASES AND SUPPORT
  • Release notes
  • Release support lifecycle
  • Support
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