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  • BigDL-Orca Document
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  • Key Features
    • Orca Context
    • Distributed Data Processing
    • Distributed Training and Inference
    • Distributed Hyper-Parameter Tuning
    • RayOnSpark
  • How-to Guides
    • Scale TensorFlow 2 Applications
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    • Use Spark DataFrames for Deep Learning
    • Use Distributed Pandas for Deep Learning
    • Enable AutoML for PyTorch
    • Enable AutoML for XGBoost
    • Scale TensorFlow 1.15 Applications
    • Scale Keras 2.3 Applications
  • Tutorials
    • Run on Hadoop/YARN Clusters
    • Run on Kubernetes Clusters
  • Tips and Known Issues
  • API Reference
    • Orca Context
    • Orca Data
    • Orca Learn
    • Orca AutoML

Orca Key Features#

  • Orca Context

  • Distributed Data Processing

  • Distributed Training and Inference

  • Distributed Hyper Parameter Tuning

  • RayOnSpark

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