Plotting & Visualization Gallery

Welcome to the visualization gallery for fusionlab-learn. A crucial part of the machine learning workflow is the ability to inspect model behavior, evaluate performance, and communicate results effectively. This section provides detailed guides on the various plotting utilities available in the library.

These tools are built on top of matplotlib and are designed to seamlessly integrate with the pandas DataFrames and Keras history objects generated by the library’s models and utilities.

From diagnosing training runs to creating detailed spatial and temporal forecast plots, this gallery covers the main functions to help you understand your models and their predictions.

Please select a guide below to learn more about a specific category of visualizations.

Visualization Guides:

• Plotting Utilities
  • Training History Visualization (plot_history_in)
  • Hydraulic Head Visualization (plot_hydraulic_head)
• Forecast Visualization Utilities
  • General-Purpose Forecasting Plots (plot_forecasts)
  • Visualizing by Forecast Step (plot_forecast_by_step)
  • Yearly/Periodic Spatial Views (forecast_view)
  • Legacy Comparison Plot (visualize_forecasts)
• Visualizing Forecasts with K-Diagram
  • Preparing Forecast Data for K-Diagram
  • Example 1: Actual vs. Predicted Plot
  • Example 2: Coverage Diagnostic Plot
  • Example 3: Model Drift Plot
  • Example 4: Prediction Velocity Plot
  • Example 5: Taylor Diagram for Model Comparison