Struct VisualPipelineBuilder 

pub struct VisualPipelineBuilder {
    pub component_library: ComponentLibrary,
    pub pipeline_canvas: PipelineCanvas,
    pub code_generator: VisualCodeGenerator,
    pub validator: PipelineValidator,
    pub export_manager: PipelineExportManager,
    pub settings: VisualBuilderSettings,
}

Visual pipeline builder for creating ML pipelines through a drag-and-drop interface

The VisualPipelineBuilder provides a complete solution for building machine learning pipelines visually, without requiring knowledge of the underlying DSL or Rust code. It includes validation, code generation, and export capabilities.

Fields

component_library: ComponentLibrary

Library of available components for pipeline construction

pipeline_canvas: PipelineCanvas

Canvas for designing and organizing pipeline components

code_generator: VisualCodeGenerator

Code generator for converting visual designs to executable code

validator: PipelineValidator

Validator for ensuring pipeline correctness

export_manager: PipelineExportManager

Manager for exporting pipelines to various formats

settings: VisualBuilderSettings

Configuration settings for the visual builder

Implementations

impl VisualPipelineBuilder

pub fn new() -> Self

Create a new visual pipeline builder with default components

pub fn generate_web_interface(&self) -> Result<WebInterface>

Generate web-based visual builder interface

Creates a complete web interface for the visual pipeline builder, including HTML templates, JavaScript logic, CSS styling, and API endpoints.

pub fn build_pipeline_from_visual( &self, visual_config: &VisualPipelineConfig, ) -> Result<GeneratedPipeline>

Build a pipeline from visual configuration

Converts a visual pipeline configuration into executable code, including validation, optimization, and documentation generation.

pub fn import_pipeline( &mut self, import_data: &PipelineImportData, ) -> Result<VisualPipelineConfig>

Import pipeline from various formats

Supports importing pipelines from multiple sources including JSON, YAML, scikit-learn pipelines, PyTorch models, and existing DSL macros.

pub fn export_pipeline( &self, config: &VisualPipelineConfig, format: ExportFormat, ) -> Result<String>

Export pipeline to various formats

Supports exporting to multiple formats for use in different environments and frameworks.

pub fn validate_pipeline( &self, config: &VisualPipelineConfig, ) -> Result<ValidationResult>

Validate a visual pipeline configuration

pub fn optimize_pipeline( &self, config: &VisualPipelineConfig, ) -> Result<VisualPipelineConfig>

Optimize a visual pipeline configuration

Applies various optimization strategies to improve pipeline performance and resource usage.

pub fn get_component_templates(&self) -> &Vec<ComponentTemplate>

Get available component templates

pub fn add_custom_component(&mut self, component: ComponentDef) -> Result<()>

Add custom component to the library

Trait Implementations

impl Clone for VisualPipelineBuilder

fn clone(&self) -> VisualPipelineBuilder

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for VisualPipelineBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for VisualPipelineBuilder

fn default() -> Self

Returns the “default value” for a type.