Module visualization 

Visualization utilities for metrics

This module provides tools for visualizing metrics results, including confusion matrices, ROC curves, precision-recall curves, calibration plots, and learning curves.

The visualization module is designed to work with popular Rust plotting libraries and provides data structures that can be easily converted to formats used by those libraries.

Basic Usage

use scirs2_metrics::visualization::{
    VisualizationData, VisualizationMetadata, PlotType, PlottingBackend, backends
};

// Create visualization data
let mut data = VisualizationData::new();
data.add_series("x", vec![1.0, 2.0, 3.0, 4.0, 5.0]);
data.add_series("y", vec![2.0, 4.0, 1.0, 3.0, 7.0]);

// Create visualization metadata
let mut metadata = VisualizationMetadata::new("Example Plot");
metadata.set_plot_type(PlotType::Line);
metadata.set_x_label("X Axis");
metadata.set_y_label("Y Axis");

// Get the default backend
let backend = backends::default_backend();

// Save the visualization to a file
backend.save_to_file(&data, &metadata, &Default::default(), "plot.html").unwrap();

Using Specific Visualizers

The module provides specialized visualizers for common metrics visualizations:

use scirs2_core::ndarray::array;
use scirs2_metrics::classification::confusion_matrix;
use scirs2_metrics::visualization::{
    confusion_matrix::confusion_matrix_visualization,
    PlottingBackend, backends
};

// Example data
let y_true = array![0, 1, 2, 0, 1, 2];
let y_pred = array![0, 2, 1, 0, 0, 2];

// Create confusion matrix
let (cm, _classes) = confusion_matrix(&y_true, &y_pred, None).unwrap();
let cm_f64 = cm.mapv(|x| x as f64);

// Create visualizer
let visualizer = confusion_matrix_visualization(
    cm_f64,
    Some(vec!["Class 0".to_string(), "Class 1".to_string(), "Class 2".to_string()]),
    false
);

// Get data and metadata
let viz_data = visualizer.prepare_data().unwrap();
let viz_metadata = visualizer.get_metadata();

// Save the visualization
let backend = backends::default_backend();
backend.save_to_file(&viz_data, &viz_metadata, &Default::default(), "confusion_matrix.html").unwrap();

Re-exports

pub use advanced_interactive::CollaborationConfig;

pub use advanced_interactive::CollaborationManager;

pub use advanced_interactive::DashboardConfig;

pub use advanced_interactive::DashboardState;

pub use advanced_interactive::DataSource;

pub use advanced_interactive::EventResponse;

pub use advanced_interactive::EventSystem;

pub use advanced_interactive::ExportConfig;

pub use advanced_interactive::InteractionConfig;

pub use advanced_interactive::InteractiveDashboard;

pub use advanced_interactive::InteractiveWidget;

pub use advanced_interactive::LayoutConfig;

pub use advanced_interactive::LayoutManager;

pub use advanced_interactive::RealtimeConfig;

pub use advanced_interactive::RenderingEngine;

pub use advanced_interactive::ThemeConfig;

pub use advanced_interactive::UpdateManager;

pub use advanced_interactive::WidgetConfig;

pub use advanced_interactive::WidgetEvent;

pub use advanced_interactive::WidgetType;

pub use backends::PlottingBackend;

pub use calibration::CalibrationVisualizer;

pub use confusion_matrix::ConfusionMatrixVisualizer;

pub use interactive::interactive_roc_curve_from_labels;

pub use interactive::interactive_roc_curve_visualization;

pub use interactive::InteractiveOptions;

pub use interactive::InteractiveROCVisualizer;

pub use learning_curve::LearningCurveVisualizer;

pub use precision_recall::PrecisionRecallVisualizer;

pub use roc_curve::ROCCurveVisualizer;

pub use helpers::*;

Modules

advanced_interactive

Advanced interactive visualization with real-time capabilities

backends

Backend adapters for visualization

calibration

Calibration curve visualization

confusion_matrix

Confusion matrix visualization

helpers

Helper functions for visualization

interactive

Interactive visualization utilities

learning_curve

Learning curve visualization

precision_recall

Precision-Recall curve visualization

roc_curve

ROC curve visualization

Structs

VisualizationData

Data structure for visualization

VisualizationMetadata

Metadata for visualization

VisualizationOptions

Options for visualization

Enums

ColorMap

Color maps for heatmaps

PlotType

Plot types supported by the visualizers

Traits

MetricVisualizer

Common trait for metric visualizers

Visualization

Helper functions for saving visualizations