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Recent Releases of scores

scores - 2.2.0

Release Notes (What's New)

Version 2.2.0 (July 26, 2025)

For a list of all changes in this release, see the full changelog. Below are the changes we think users may wish to be aware of.

Features

  • Added a new metric:
    • Spearman’s correlation coefficient: scores.continuous.correlation.spearmanr. See PR #773.
  • Added a new function for generating data for diagrams:
    • Quantile-Quantile (QQ) plots: scores.plotdata.qq. See PR #852.
  • Added new features to the FIxed Risk Multicategorical (FIRM) score (scores.categorical.firm):
    • Added support for xr.Datasets in addition to the existing support for xr.DataArrays. See PR #853.
    • Added the optional argument include_components. If include_components is set to True the function will return the overforecast and underforecast penalties along with the FIRM score. See See PR #853 and PR #864.
  • Added a new scores.plotdata section to the API for functions that generate data for verification plots. See PR #852.

Bug Fixes

  • Fixed an issue where scores.plotdata.roc didn't add the point (0, 0) in some instances. See PR #863.
  • Fixed an issue in scores.continuous.quantile_interval_score where broadcasting wasn't being done correctly in some cases. See PR #867.

Documentation

  • Added two new tutorials:
    • "Spearman’s Correlation Coefficient". See PR #773.
    • "Quantile-Quantile (Q-Q) Plots for Comparing Forecasts and Observations". See PR #852.
  • Substantially updated "The FIxed Risk Multicategorical (FIRM) Score" tutorial. See PR #853.
  • Fixed an error in the formula in the docstring for the quantile interval score (scores.continuous.quantile_interval_score). (Note: this error was only present in the docstring - the code implemenation of the function was correct and the tutorial listed the correct formula.) See PR #851.
  • Updated several "full changelog" URLs in the release notes. See PR #859.

Internal Changes

  • Improved the efficiency of the FIxed Risk Multicategorical (FIRM) score (scores.categorical.firm) by moving the call to gather dimensions to earlier within the method. See PR #853.
  • Added a new scores.plotdata section to the API for functions that generate data for verification plots. See PR #852. The following internal changes were made:
    • Receiver (Relative) Operating Characteristic (ROC):
      • scores.probability.roc_curve_data was moved to scores.plotdata.roc, but can still be imported as scores.probability.roc_curve_data.
    • Murphy Score:
      • scores.continuous.murphy_score was moved to scores.plotdata.murphy_score, but can still be imported as scores.continuous.murphy_score and scores.probability.murphy_score.
      • scores.continuous.murphy_thetas was moved to scores.plotdata.murphy_thetas, but can still be imported as scores.continuous.murphy_thetas and scores.probability.murphy_thetas.
  • Added an additional CI/CD pipeline for testing without Dask. See PR #856.

Contributors to this Release

Liam Bluett (@lbluett), Nicholas Loveday (@nicholasloveday), Nikeeth Ramanathan (@nikeethr), Tennessee Leeuwenburg (@tennlee), Robert J. Taggart (@rob-taggart), Stephanie Chong (@Steph-Chong) and Mohammadreza Khanarmuei (@reza-armuei).

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee 5 months ago

scores - 2.1.0

Release Notes (What's New)

Version 2.1.0 (April 30, 2025)

For a list of all changes in this release, see the full changelog. Below are the changes we think users may wish to be aware of.

Features

  • Added a new fuction:
    • Block bootstrap: scores.processing.block_bootstrap. See PR #418.
  • Added two new metrics:
    • Stable equitable error in probability space (SEEPS): scores.categorical.seeps. See PR #809 and PR #833.
    • Nash-Sutcliffe model efficiency coefficient (NSE): scores.continuous.nse. See PR #815.

Documentation

  • Added "Block Bootstrapping" tutorial. See PR #418.
  • Added "Stable Equitable Error in Probability Space (SEEPS)" tutorial. See PR #809.
  • Added "Nash-Sutcliffe Efficiency (NSE)" tutorial. See PR #815.
  • Updated the "Continuous Ranked Probability Score (CRPS) for Ensembles" tutorial:
    • Labelled dimensions in fcst/obs data.
    • Updated description of the plot to say the area squared corresponds to the CRPS.
    • Added an example with multiple coordinates along a dimension.
      See PR #805.
  • Updated "Data Sources":
    • Added links to two additional datasets for gridded global numerical weather prediction.
    • Added links to several additional datasets for point-based data.
      See PR #823 and PR #831.
  • Updated references in several sections of the documentation, following the publication of a preprint for the risk matrix score. See PR #827.

Internal Changes

  • Tested and added compatibility for recent Xarray versions (2025 and onwards) and adjusted dependency specification so new year "major version" rollovers will be permitted by default in future. See commit #f109f2f and commit #8428d64.
  • In scores.emerging.weights_from_warning_scaling, changed the name of the argument assessment_weights to evaluation_weights. See PR #806.
    **Note:* This is technically a breaking change, but does not trigger a major release as it is contained within the "emerging" section of the API. This area of the API is designated for metrics which are still undergoing peer review and as such are expected to undergo change. Once peer review is concluded, the implementation will be finalised and moved.*
  • Add support for developers of scores who choose to use the pixi tool for environment management. See PR #835, PR #839 and PR #840.

Contributors to this Release

Dougal T. Squire* (@dougiesquire), Mohammad Mahadi Hasan* (@engrmahadi), Mohammadreza Khanarmuei (@reza-armuei), Nikeeth Ramanathan (@nikeethr) Tennessee Leeuwenburg (@tennlee), Nicholas Loveday (@nicholasloveday), Robert J. Taggart (@rob-taggart), Durga Shrestha (@durgals) and Stephanie Chong (@Steph-Chong).

* indicates that this release contains their first contribution to scores.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee 8 months ago

scores - 2.0.0

Release Notes (What's New)

Version 2.0.0 (December 7, 2024)

For a list of all changes in this release, see the full changelog. Below are the changes we think users may wish to be aware of.

Breaking Changes

  • The function scores.probability.tw_crps_for_ensemble previously took an optional (mis-spelled) argument chainging_func_kwargs. The spelling has been corrected and the argument is now chaining_func_kwargs. See PR #780 and PR #772.
  • For those who develop on scores, you will need to update your installation of the scores package with pip install -e .[all], to get updated versions of black, pylint and mypy. See PR #768, PR #769 and PR #771.

Features

  • Added three new metrics:
    • Brier score for ensembles: scores.probability.brier_score_for_ensemble. See PR #735.
    • Negative predictive value: scores.categorical.BasicContingencyManager.negative_predictive_value. See PR #759.
    • Positive predictive value: scores.categorical.BasicContingencyManager.positive_predictive_value. See PR #761 and PR #756.
  • Also added one new emerging metric and two supporting functions:
    • Risk matrix score: scores.emerging.risk_matrix_scores.
    • Risk matrix score - matrix weights to array: scores.emerging.matrix_weights_to_array.
    • Risk matrix score - warning scaling to weight array: scores.emerging.weights_from_warning_scaling.
      See PR #724 and PR #794.
  • A new method called format_table was added to the class BasicContingencyManager to improve visualisation of 2x2 contingency tables. The tutorial Binary_Contingency_Scores was updated to demonstrate the use of this function. See PR #775.
  • The functions scores.processing.comparative_discretise, scores.processing.binary_discretise and scores.processing.binary_discretise_proportion now accept either a string indicating the choice of operator to be used, or an operator from the Python core library operator module. Using one of the operators from the Python core module is recommended, as doing so is more reliable for a variety of reasons. Support for the use of a string may be removed in future. See PR #740 and PR #758.

Documentation

  • Added "The Risk Matrix Score" tutorial. See PR #724 and PR #794.
  • Updated the "Brier Score" tutorial to include a new section about the Brier score for ensembles. See PR #735.
  • Updated the "Binary Categorical Scores and Binary Contingency Tables (Confusion Matrices)" tutorial:
    • Included "positive predictive value" in the list of binary categorical scores.
    • Included "negative predictive value" in the list of binary categorical scores.
    • Demonstrated the use of the new format_table method for visualising 2x2 contingency tables.
      See PR #759 and PR #775.
  • Updated the “Contributing Guide”:
    • Added a new section: "Creating Your Own Fork of scores for the First Time".
    • Updated the section: "Workflow for Submitting Pull Requests".
    • Added a new section: "Pull Request Etiquette".
      See PR #787.
  • Updated the README:
    • Added a link to a video of a PyCon AU 2024 conference presentation about scores. See PR #783.
    • Added a link to the archives of scores on Zenodo. See PR #784.
  • Added Scoringrules to "Related Works". See PR #746, PR #766 and PR #789.

Internal Changes

  • Removed scikit-learn as a dependency. scores has replaced the use of scikit-learn with a similar function from SciPy (which was an existing scores dependency). This change was manually tested and found to be faster. See PR #774.
  • Version pinning of dependencies in release files (the wheel and sdist files used by PyPI and conda-forge) is now managed and set by the hatch_build script. This allows development versions to be free-floating, while being more specific about dependencies in releases. The previous process also aimed to do this, but was error-prone. A new entry called pinned_dependencies was added to pyproject.toml to specify the release dependencies. See PR #760.

Contributors to this Release

Arshia Sharma* (@arshiaar), A.J. Fisher* (@AJTheDataGuy), Liam Bluett* (@lbluett), Jinghan Fu* (@JinghanFu), Sam Bishop* (@techdragon), Robert J. Taggart (@rob-taggart), Tennessee Leeuwenburg (@tennlee), Stephanie Chong (@Steph-Chong) and Nicholas Loveday (@nicholasloveday).

* indicates that this release contains their first contribution to scores.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee about 1 year ago

scores - 1.3.0

Release Notes (What's New)

Version 1.3.0 (November 15, 2024)

For a list of all changes in this release, see the full changelog. Below are the changes we think users may wish to be aware of.

Introduced Support for Python 3.13 and Dropped Support for Python 3.9

  • In line with other scientific Python packages, scores has dropped support for Python 3.9 in this release. scores has added support for Python 3.13. See PR #710.

Features

  • Added four new metrics:
    • Quantile Interval Score: scores.continuous.quantile_interval_score. See PR #704, PR #733 and PR #738.
    • Interval Score: scores.continuous.interval_score. See PR #704, PR #733 and PR #738.
    • Kling-Gupta Efficiency (KGE): scores.continuous.kge. See PR #679, PR #700 and PR #734.
    • Interval threshold weighted continuous ranked probability score (twCRPS) for ensembles: scores.probability.interval_tw_crps_for_ensemble. See PR #682 and PR #734.
  • Added an optional include_components argument to several continuous ranked probability score (CRPS) functions for ensembles. If supplied, the include_components argument will return the underforecast penalty, the overforecast penalty and the forecast spread term, in addition to the overall CRPS value. This applies to the following CRPS functions:
    • continuous ranked probability score (CRPS) for ensembles: scores.probability.crps_for_ensemble
    • threshold weighted continuous ranked probability score (twCRPS) for ensembles: scores.probability.tw_crps_for_ensemble
    • tail threshold weighted continuous ranked probability score (twCRPS) for ensembles: scores.probability.tail_tw_crps_for_ensemble
    • interval threshold weighted continuous ranked probability score (twCRPS) for ensembles: scores.probability.interval_tw_crps_for_ensemble)
      See PR #708 and PR #734.

Documentation

  • Added "Kling–Gupta Efficiency (KGE)" tutorial. See PR #679, PR #700 and PR #734.
  • Added "Quantile Interval Score and Interval Score" tutorial. See PR #704, PR #736 and PR #738.
  • Added "Threshold Weighted Continuous Ranked Probability Score (twCRPS) for ensembles" tutorial. See PR #706 and PR #722.
  • Updated the title in the "Binary Categorical Scores and Binary Contingency Tables (Confusion Matrices)" tutorial and the description for the corresponding thumbnail in the tutorial gallery. See PR #741 and PR #743.
  • Updated the pull request template. See PR #719.

Internal Changes

  • Sped up (improved the computational efficiency of) the continuous ranked probability score (CRPS) for ensembles. This also addresses memory issues when a large number of ensemble members are present. See PR #694.

Contributors to this Release

Mohammadreza Khanarmuei (@reza-armuei), Nicholas Loveday (@nicholasloveday), Durga Shrestha (@durgals), Tennessee Leeuwenburg (@tennlee), Stephanie Chong (@Steph-Chong) and Robert J. Taggart (@rob-taggart).

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee about 1 year ago

scores - 1.2.0

Release Notes (What's New)

Version 1.2.0 (September 13, 2024)

For a list of all changes in this release, see the full changelog. Below are the changes we think users may wish to be aware of.

Features

  • Added three new metrics:
    • Percent bias (PBIAS): scores.continuous.pbias. See PR #639 and PR #655.
    • Threshold weighted continuous ranked probability score (twCRPS) for ensembles: scores.probability.tw_crps_for_ensemble. See PR #644.
    • Tail threshold weighted continuous ranked probability score (twCRPS) for ensembles: scores.probability.tail_tw_crps_for_ensemble. See PR #644.
  • The FIxed Risk Multicategorical (FIRM) score (scores.categorical.firm) can now take a sequence of mulitdimensional arrays (xr.DataArray) of thresholds. This allows the FIRM score to be used with categorical thresholds that vary across the domain. See PR #661.

Documentation

  • Added information about percent bias to the "Additive Bias and Multiplicative Bias" tutorial. See PR #639 and PR #656.
  • Updated documentation to say there are now over 60 metrics, statistical techniques and data processing tools contained in scores. See PR #659.
  • In the "Contributing Guide", updated instructions for installing a conda-based virtual environment. See PR #654.

Internal Changes

  • Modified automated tests to work with NumPy 2.1. Incorporated a union type of array and generic in assert statements for Dask operations. See PR #643.

Contributors to this Release

Durga Shrestha* (@durgals), Maree Carroll (@mareecarroll), Nicholas Loveday (@nicholasloveday), Tennessee Leeuwenburg (@tennlee), Stephanie Chong (@Steph-Chong) and Robert J. Taggart (@rob-taggart).

* indicates that this release contains their first contribution to scores.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - 1.1.0

Release Notes (What's New)

Version 1.1.0 (August 9, 2024)

For a list of all changes in this release, see the full changelog. Below are the changes we think users may wish to be aware of.

Features

  • scores is now available on conda-forge.
  • Added five new metrics
    • threshold weighted squared error: scores.continuous.tw_squared_error
    • threshold weighted absolute error: scores.continuous.tw_absolute_error
    • threshold weighted quantile score: scores.continuous.tw_quantile_score
    • threshold weighted expectile score: scores.continuous.tw_expectile_score
    • threshold weighted Huber loss: scores.continuous.tw_huber_loss.
      See PR #609.

Documentation

  • Added "Threshold Weighted Scores" tutorial. See PR #609.
  • Removed nbviewer link from documentation. See PR #615.

Internal Changes

  • Modified numpy.trapezoid call to work with either NumPy 1 or 2. See PR #610.

Contributors to this Release

Nicholas Loveday (@nicholasloveday), Tennessee Leeuwenburg (@tennlee), Stephanie Chong (@Steph-Chong) and Robert J. Taggart (@rob-taggart).

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - 1.0.0

Release Notes (What's New)

Version 1.0.0 (July 10, 2024)

We are happy to have reached the point of releasing “Version 1.0.0” of scores. While we look forward to many version increments to come, version 1.0.0 represents a milestone. It signifies a stabilisation of the API, and marks a turning point from the initial construction period. We have also published a paper in the Journal of Open Source Software (see citation further below).

From this point forward, scores will be following the Semantic Versioning Specification (SemVer) in its release management.

This is a good moment to acknowledge and thank the contributors that helped us reach this point. They are: Tennessee Leeuwenburg, Nicholas Loveday, Elizabeth E. Ebert, Harrison Cook, Mohammadreza Khanarmuei, Robert J. Taggart, Nikeeth Ramanathan, Maree Carroll, Stephanie Chong, Aidan Griffiths and John Sharples.

Please consider a citation of our paper if you use our code. The citation is:

Leeuwenburg, T., Loveday, N., Ebert, E. E., Cook, H., Khanarmuei, M., Taggart, R. J., Ramanathan, N., Carroll, M., Chong, S., Griffiths, A., & Sharples, J. (2024). scores: A Python package for verifying and evaluating models and predictions with xarray. Journal of Open Source Software, 9(99), 6889. https://doi.org/10.21105/joss.06889

BibTeX: @article{Leeuwenburg_scores_A_Python_2024, author = {Leeuwenburg, Tennessee and Loveday, Nicholas and Ebert, Elizabeth E. and Cook, Harrison and Khanarmuei, Mohammadreza and Taggart, Robert J. and Ramanathan, Nikeeth and Carroll, Maree and Chong, Stephanie and Griffiths, Aidan and Sharples, John}, doi = {10.21105/joss.06889}, journal = {Journal of Open Source Software}, month = jul, number = {99}, pages = {6889}, title = {{scores: A Python package for verifying and evaluating models and predictions with xarray}}, url = {https://joss.theoj.org/papers/10.21105/joss.06889}, volume = {9}, year = {2024} }

For the full details of all changes in this release, see the GitHub commit history.

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Published by tennlee over 1 year ago

scores - 0.9.3

Release Notes (What's New)

Version 0.9.3 (July 9, 2024)

For the full details of all changes in this release, see the GitHub commit history. Below are the changes we think users may wish to be aware of.

Breaking Changes

  • Renamed and relocated function scores.continuous.correlation to scores.continuous.correlation.pearsonr. See PR #583 by @nicholasloveday.

Documentation

Internal Changes

  • Introduced pinned versions for dependencies on main. See PR #580 by @tennlee.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - 0.9.2

What's Changed

  • Add Badges to the README for CodeQL, code coverage, and binder link by @tennlee in https://github.com/nci/scores/pull/555
  • Substantially update "Data Sources" page in documentation by @Steph-Chong in https://github.com/nci/scores/pull/544
  • Add a Key Features page to docs by @Steph-Chong in https://github.com/nci/scores/pull/567
  • Addition of consistent scoring rules by @nicholasloveday in https://github.com/nci/scores/pull/540
  • Release 0.9.2 by @tennlee in https://github.com/nci/scores/pull/570

Full Changelog: https://github.com/nci/scores/compare/0.9.1...0.9.2

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - 0.9.1

What's Changed

  • Citation file addition by @tennlee in https://github.com/nci/scores/pull/532
  • Change function arguments 'forecast' and 'observed' to 'fcst' and 'obs' to improve consistency by @tennlee in https://github.com/nci/scores/pull/537
  • 531 documentation uplift for contingency manager classes by @tennlee in https://github.com/nci/scores/pull/535
  • Release 0.9.1 by @tennlee in https://github.com/nci/scores/pull/541

Full Changelog: https://github.com/nci/scores/compare/0.9.0...0.9.1

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - 0.9.0

What's Changed

  • Add mathjax for MSE and tidy up docstrings by @tennlee in https://github.com/nci/scores/pull/509
  • Test the Heidke Skill Score and Gilbert Skill Score against a known complex example by @tennlee in https://github.com/nci/scores/pull/502
  • Add mathjax for Pearson's Correlation Coefficient by @tennlee in https://github.com/nci/scores/pull/515
  • 460 mathjax review request crps for ensemble by @tennlee in https://github.com/nci/scores/pull/504
  • Remove testing and review notice by @tennlee in https://github.com/nci/scores/pull/521
  • Relocate SEDI in included.md table by @Steph-Chong in https://github.com/nci/scores/pull/524
  • Release 0.9.0 by @tennlee in https://github.com/nci/scores/pull/526

Full Changelog: https://github.com/nci/scores/compare/0.8.6...0.9.0

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - 0.8.6

Largely a documentation release to improve consistency across versions

What's Changed

  • Add mathjax for Heidke skill score (HSS) & Cohens Kappa by @nikeethr in https://github.com/nci/scores/pull/497
  • Modify docstrings to place type hints into the description by @tennlee in https://github.com/nci/scores/pull/506
  • Typehints not rendering correctly in api docstrings for fss by @nikeethr in https://github.com/nci/scores/pull/503
  • Update latest links to stable links in README.md by @Steph-Chong in https://github.com/nci/scores/pull/510
  • Updates API links in included.md to relative paths by @Steph-Chong in https://github.com/nci/scores/pull/514
  • Update links to tutorials in included.md by @Steph-Chong in https://github.com/nci/scores/pull/516

Full Changelog: https://github.com/nci/scores/compare/0.8.5...0.8.6

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - 0.8.5

What's Changed

  • 424 add more binary contingency table metrics by @nicholasloveday in https://github.com/nci/scores/pull/479
  • Bump tornado from 6.4 to 6.4.1 in /.binder by @dependabot in https://github.com/nci/scores/pull/485
  • Fractions skill score by @nikeethr in https://github.com/nci/scores/pull/266
  • Adds spatial category to README.md table by @Steph-Chong in https://github.com/nci/scores/pull/487
  • Adds spatial and FSS to included.md by @Steph-Chong in https://github.com/nci/scores/pull/488
  • mathjax for odds ratio by @nikeethr in https://github.com/nci/scores/pull/489
  • mathjax for odds ratio skill score or yules q by @nikeethr in https://github.com/nci/scores/pull/493
  • Minor release 0.8.5 by @tennlee in https://github.com/nci/scores/pull/498

Full Changelog: https://github.com/nci/scores/compare/0.8.4...0.8.5

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - Release 0.8.4

What's Changed

  • Adding reference to Gilbert Skill Score & Equitable Threat Score docstrings by @Steph-Chong in https://github.com/nci/scores/pull/420
  • Update download links for data fetching by @tennlee in https://github.com/nci/scores/pull/434
  • (one of five) Add mathjax and improved docstrings to several scores by @tennlee in https://github.com/nci/scores/pull/441
  • Adds fraction correct (as alternative term to accuracy) to API and updates included.md table by @Steph-Chong in https://github.com/nci/scores/pull/437
  • Renaming explanation to tutorial gallery by @Steph-Chong in https://github.com/nci/scores/pull/451
  • Contributing Guide: adds (a) reference to providing feedback, (b) code of conduct section by @Steph-Chong in https://github.com/nci/scores* Minor release 0.8.4 by @tennlee in https://github.com/nci/scores/pull/452

Full Changelog: https://github.com/nci/scores/compare/0.8.3...0.8.4

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Published by tennlee over 1 year ago

scores -

Correction to Peirce Skill Score. Noted by maintainers during reveiw.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - 0.8.2

Documentation updates * Minor release 8 2 by @tennlee in https://github.com/nci/scores/pull/409

Full Changelog: https://github.com/nci/scores/compare/0.8.1...0.8.2

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - 0.8.1

What's Changed

  • Adding GitHub button to top of readthedocs by @Steph-Chong in https://github.com/nci/scores/pull/372
  • Related works page for docs by @Steph-Chong in https://github.com/nci/scores/pull/367
  • Address various pylint concerns by @tennlee in https://github.com/nci/scores/pull/380
  • Create new area for holding emerging scores by @tennlee in https://github.com/nci/scores/pull/382
  • Various methods were not properly inheriting object defaults for the o… by @tennlee in https://github.com/nci/scores/pull/385

Full Changelog: https://github.com/nci/scores/compare/0.8...0.8.1

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Published by tennlee over 1 year ago

scores - Version 0.8

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Published by tennlee over 1 year ago

scores - Doc update to 0.7

Documentation update to version 0.7 following testing of final readthedocs page. Updates to version identifiers in the code to match the git tag and release version

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - 0.7

What's Changed (Highlights)

  • Added binary contingency tables and related scores by @tennlee
  • scores.probability.functions onw public by @nicholasloveday in https://github.com/nci/scores/pull/226
  • Add new table listing metrics, scores, etc in a single page by @Steph-Chong in https://github.com/nci/scores/pull/256
  • Keyword-only arguments across codebase by @nikeethr in https://github.com/nci/scores/pull/194

New Contributors

  • @nikeethr made their first contribution in https://github.com/nci/scores/pull/194
  • @dependabot made their first contribution in https://github.com/nci/scores/pull/267
  • @Steph-Chong made their first contribution, adding the table of scores and metrics

Full Changelog: https://github.com/nci/scores/compare/0.6...0.7

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - Same as version v0.6 but without the v

It seems like it is more consistent to drop the 'v' from the version number in the tag.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores -

Introduce the tutorial gallery and integration with binder Fixing broken links from PyPI and ReadTheDocs A fairly significant documentation tidyup

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 1 year ago

scores - Release 0.5

Several new scores implemented Expanded testing including dask testing Created pandas API for simple scores

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Published by tennlee over 1 year ago

scores - Release 0.4 - Initial usable alpha

This version of scores contains: - Concrete implementation of a foundation set of scores - 100% coverage unit testing - Readthedocs website with all documentation - Jupyter notebook tutorials for all scores - PyPI installable

There are still required changes expected before this package is recommended for use beyond exploration of the scores.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 2 years ago

scores - First functional PyPI build

Added MAE Added MSE Added CRPS

First version Matching github documentation

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by tennlee over 2 years ago