omega-ml
1.1
  • Introduction
  • User Guide
    • Getting started
    • Working with datasets
    • Working with models
      • Introduction to models
      • Capturing model metrics
      • Working with ML frameworks
        • Tensorflow
        • Working MLFlow models
    • Working with notebooks
    • Deploying models and pipelines
    • Command-line interface
    • Advanced features
    • Integration
  • Administration
  • Development Guide
  • Reference
  • Tutorial Notebooks
  • Screenshots
  • More information
omega-ml
You're reading an old version of this documentation. If you want up-to-date information, please have a look at release/0.16.3.
  • User Guide
  • Working with models
  • Working with ML frameworks
  • View page source

Working with ML frameworksΒΆ

  • Tensorflow
    • Concepts
    • Keras models
    • tf.data.Dataset
  • Working MLFlow models
    • Using mlflow saved models
    • Using a MLModel file
    • Using a mlflow Model or PythonModel
    • Serving mlflow model runs
    • Model frameworks supported via mlflow
    • Disclaimer and License
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