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UnionML
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UnionML
  • Basics
    • Initializing a UnionML App
    • Defining a Dataset
    • Binding a Model and Dataset
    • Local Training and Prediction
  • Deployment Guides
    • Deploying to Flyte
    • Serving with FastAPI
    • Serving with AWS Lambda
    • Serving with BentoML
    • Reacting to S3 Events
  • Advanced Guides
    • Scheduling
    • Component Callbacks

Tutorials

  • Tutorials
  • Computer Vision
    • MNIST: Digits Classification
    • QuickDraw: A Pictionary App

References

  • API Reference
    • unionml.dataset
      • unionml.dataset.Dataset
      • unionml.dataset.FeatureTypeUnion
      • unionml.dataset.ReaderReturnTypeSource
    • unionml.model
      • unionml.model.BaseHyperparameters
      • unionml.model.Model
      • unionml.model.ModelArtifact
    • unionml.schedule
      • unionml.schedule.Schedule
      • unionml.schedule.ScheduleType
      • unionml.schedule.create_scheduled_launchplan
    • unionml.services.bentoml
      • unionml.services.bentoml.BentoMLService
      • unionml.services.bentoml.create_runnable
      • unionml.services.bentoml.create_service
      • unionml.services.bentoml.infer_feature_io_descriptor
      • unionml.services.bentoml.infer_io_descriptor
      • unionml.services.bentoml.infer_output_io_descriptor
      • unionml.services.bentoml.ServiceNotConfigured
    • unionml.exceptions
      • unionml.exceptions.ModelArtifactNotFound
  • CLI Reference

Resources

  • Contributing Guide
  • Union.ai
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Computer Vision#

This section of the tutorials should show you how to process image data to create predictive applications like digits classification 🔢 and pictionary 🖼!

  • MNIST: Digits Classification
  • QuickDraw: A Pictionary App
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MNIST: Digits Classification
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Tutorials
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