https://github.com/drsteve/pyforecasttools - Version 1.1.1

PyForecastTools v1.1.1

A Python module to provide model validation and forecast verification tools, including a set of convenient plot functions. A selection of capabilites provided by PyForecastTools includes: * Accuracy and bias metrics for continuous predictands - Unscaled/absolute measures - Relative measures - Scaled measures * 2x2 and NxN contingency table classes - Wide range of contingency table metrics and scores - Multiple methods of calculating confidence intervals on scores * Convenient plotting for visually comparing models and data - Quantile-Quantile plots - Taylor diagrams - ROC curves - Reliability diagrams

Release history

Changes in Version 1.1.1 (2020-04-23) - Updated version number in package metadata

Changes in Version 1.1.0 (2020-04-23) - Restructure package with modules - Code tidying for PEP8 - Updated license and copyright - Documentation at drsteve.github.io/PyForecastTools categorical - Added bootstrapped CI for Matthews correlation metrics - Updated docstrings - Compatibility with xarray input plot - Added plot module - QQ plots - Taylor diagrams - ROC curves - Reliability diagrams

Changes in Version 1.0.1 (2018-06-27) - Repackaged for pip install - Expanded test coverage

Changes in Version 1.0.0 (2018-05-31) - Initial release

- Python
Published by drsteve almost 6 years ago

https://github.com/drsteve/pyforecasttools - Version 1.1.0

PyForecastTools

Forecast Verification/Validation Tools in Python

Changes in Version 1.1.0 (2020-04-23)

• Restructure package with modules
• Code tidying for PEP8
• Updated license and copyright
• Documentation at drsteve.github.io/PyForecastTools categorical
• Added bootstrapped CI for Matthews correlation metrics
• Updated docstrings
• Compatibility with xarray input plot
• Added plot module
  • QQ plots
  • Taylor diagrams
  • ROC curves
  • Reliability diagrams

- Python
Published by drsteve almost 6 years ago

https://github.com/drsteve/pyforecasttools - PyForecastTools: Version 1.0.1

PyForecastTools: Module for forecast verification and model validation. Provides numerous metrics, including accuracy and bias, and fully featured classes for NxN contingency table analysis. Contingency2x2 class provides 3 methods for estimating confidence intervals on metrics (Wald intervals, Agresti-Coull intervals, and bootstrapped intervals).

v1.0.1 -- Repackaged for pip install, expanded test coverage

- Python
Published by drsteve over 7 years ago

https://github.com/drsteve/pyforecasttools - PyForecastTools: Version 1.0

PyForecastTools: Module for forecast verification and model validation. Provides numerous metrics, including accuracy and bias, and fully featured classes for NxN contingency table analysis. Contingency2x2 class provides 3 methods for estimating confidence intervals on metrics (Wald intervals, Agresti-Coull intervals, and bootstrapped intervals).

- Python
Published by drsteve over 7 years ago