model-diagnostics 0.2.0

Tools for diagnostics and assessment of (machine learning) models

model-diagnostics

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Tools for diagnostics and assessment of (machine learning) models

Highlights:

• Assess model calibration with identification functions (generalized residuals).
• Assess calibration and bias graphically
  • reliability diagrams for auto-calibration
  • bias plots for conditional calibration
• Assess the predictive performance of models
  • strictly consistent, homogeneous scoring functions
  • score decomposition into miscalibration, discrimination and uncertainty

Read more in the documentation.

This package relies on the giant shoulders of, among others, polars, matplotlib, scipy and scikit-learn.

Installation

pip install model-diagnostics

Contributions

Contributions are warmly welcome! When contributing, you agree that your contributions will be subject to the MIT License.