Concepts

• Component
  • What is Azure Machine Learning component?
  • How to create an Azure ML component
  • How to consume a component using SDK
  • What’s the benefit of Component?
  • Next steps
• RunSettings
  • User Interface
  • target
  • target_selector
  • resource_layout
  • environment_variables
  • environment
  • docker_configuration
  • priority
  • timeout_seconds
  • parallel
  • hdinsight
  • scope
  • Work with pipeline parameters
  • Pipeline level RunSettings
• Inputs and Outputs
  • Configure runtime behavior of Inputs and Outputs
  • Input configuration
  • Output configuration
• Pipeline
  • What are Azure Machine Learning Pipelines?
  • Building pipelines with the Component SDK
  • Key advantages
  • Next steps
• PipelineParameter
  • What is PipelineParameter?
  • Supported type
  • Use PipelineParameter
  • Submit with PipelineParameter
  • Publish run with PipelineParameter
  • Use Parameter Group
  • Dynamic PipelineParameter
  • Non-PipelineParameter
• PipelineExpression
  • What is PipelineExpression?
  • Supported Operators
  • Supported Operands
  • Use PipelineExpression
• Control Flow
  • Overview
  • Condition
  • Condition Output
  • Define condition by custom dsl.command_component
  • Next steps