Expand description
Visual pipeline builder for creating ML pipelines through drag-and-drop interface
This module provides a comprehensive visual interface for building machine learning pipelines without writing code. It includes a component library, canvas for pipeline design, code generation, validation, and export capabilities.
Structs§
- ApiEndpoint
- Canvas
Layout - Layout information for the entire canvas
- Code
Generation Settings - Settings for code generation
- Component
Category - Category for organizing components
- Component
Connection - Connection between two components in the pipeline
- Component
Def - Definition of a custom component
- Component
Instance - Instance of a component placed on the canvas
- Component
Library - Library of available components for pipeline construction
- Component
Position - Position of a component on the canvas
- Component
Template - Template for creating component instances
- Generated
Pipeline - Performance
Hint - Pipeline
Canvas - Canvas for designing and organizing pipeline components
- Pipeline
Documentation - Pipeline
Export Manager - Pipeline
Import Data - Pipeline
Settings - Pipeline-specific settings
- Pipeline
Validator - Validation
Result - Visual
Builder Settings - Settings for the visual builder interface
- Visual
Code Generator - Code generator for converting visual designs to executable code
- Visual
Pipeline Builder - Visual pipeline builder for creating ML pipelines through a drag-and-drop interface
- Visual
Pipeline Config - Configuration for a visual pipeline created through the drag-and-drop interface
- WebInterface
- WebSocket
Handler