omega-ml
  • Introduction
  • User Guide
    • Getting started
    • Generative AI
    • Classic ML
      • Tutorial for classic ML
        • Loading datasets for training
        • Training models
        • Evaluating models
        • Deploying models
        • Adding business logic to models
        • Serving models for real-time predictions
        • Tracking and monitoring models
      • Working with models
      • Working with datasets
    • Task Automation
    • Deployment and Operations
    • Command-line interface
    • Advanced features
  • Deploying omega-ml
  • Extending omega-ml
  • Reference
  • Support
  • Changes
omega-ml
  • User Guide
  • Classic ML
  • Tutorial for classic ML
  • View page source

Tutorial for classic MLΒΆ

To get started with classic ML workflows, follow these guides:

  • Loading datasets for training
  • Training models
  • Evaluating models
  • Deploying models
  • Adding business logic to models
  • Serving models for real-time predictions
  • Tracking and monitoring models
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