k-diagram: Polar Insights for Forecasting

Navigate the complexities of forecast uncertainty and model behavior with specialized polar visualizations.

Welcome to the official documentation for k-diagram. This package provides a unique perspective on evaluating forecasting models, especially when uncertainty quantification is crucial. Dive in to discover how polar plots can reveal deeper insights into your model’s performance, stability, and potential weaknesses.

Install k-diagram

Quick Start Guide

Plot Gallery

Key Features

• Intuitive Polar Perspective: Visualize multi-dimensional

  aspects like uncertainty spread, temporal drift, and spatial patterns in a compact circular layout.

• Targeted Diagnostics: Functions specifically designed to

  assess interval coverage, consistency, anomaly magnitude, model velocity, and drift.

• Uncertainty-Aware Evaluation: Move beyond point-forecast

  accuracy and evaluate the reliability of your model’s uncertainty estimates.

• Identify Model Weaknesses: Pinpoint where and when your

  forecasts are less reliable or exhibit significant anomalies.

• Clear Communication: Generate publication-ready plots to

  effectively communicate model performance and uncertainty characteristics.

See Also

Quick links to the main sections of the API Reference:

• Uncertainty Visualization: Functions for

  analyzing prediction intervals, coverage, anomalies, and drift.

• Model Evaluation: Functions for generating

  Taylor Diagrams to compare model performance.

• Feature Importance: Functions for

  visualizing feature influence patterns (fingerprints).

• Relationship Visualization: Functions for

  plotting true vs. predicted values in polar coordinates.

• Full API Reference: Browse the complete API documentation.