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MLRun 0.6.5 release

MLRun version 0.6.5 is now generally available. The release includes the following: 

  • Supports node selectors when running a new job
  • Feature Store updates:
    •    Improved ingestion and aggregation logic and performance
    •    Model UI now includes information about the feature vector
  • Kubernetes secrets provider is now supported
  • Enables mpijob as an MLRun runtime
  • Additional logging capabilities of PyTorch and Tensorflow models using TensorBoard
  • A new option to create new functions via the UI