skops Changelog

v0.9 

Add support for quantile-forest estimators. #384 by Reid Johnson.
Fix an issue with visualizing Skops files for scikit-learn tree estimators. #386 by Reid Johnson.
skops.hub_utils.get_model_output() and skops.hub_utils.push() are deprecated and will be removed in version 0.10. #396 by Adrin Jalali.

Adds the abillity to set the Section.folded property when using Card.add(). #361 by Thomas Lazarus.
Add the CLI command to update Skops files to the latest Skops persistence format. (cli._update.main()). #333 by Edoardo Abati
Fix a bug that prevented persisting np.mean when using numpy>=1.25.0. #373 by Adrin Jalali.

Add ability to copy plots on Card.save() so that they can be referenced in the model card. #330 by Thomas Lazarus.
compression and compresslevel from ZipFile are now exposed to the user via io.dumps() and io.dump(). #345 by Adrin Jalali.
Fix: skops.io.visualize() is now capable of showing bytes. #352 by Benjamin Bossan.
All public numpy ufuncs (Universal Functions) and dtypes are trusted by default by io.load(). #336 by Omar Arab Oghli.
Sections in skops.card.Card can now be folded once added to the card. #341 by Thomas Lazarus.
Model loading in skops.card.Card is now cached to avoid loading the model multiple times. #299 by Juan Camacho.

Add tabular regression example. #254 by Thomas Lazarus.
All public scipy.special ufuncs (Universal Functions) are trusted by default by io.load(). #295 by Omar Arab Oghli.
Add a new function skops.card.Card.add_metric_frame() to help users add metrics to their model cards. #298 by Thomas Lazarus
Add Card.create_toc() to create a table of contents for the model card in markdown format. #305 by Thomas Lazarus.
Add example of using model card without the skops template. #291 by Benjamin Bossan.
Fix: skops persistence now also works with many functions from the operator module. #287 by Benjamin Bossan.
add_* methods on Card now have default section names (but None is no longer valid) and no longer add descriptions by default. #321 by Benjamin Bossan.
Add possibility to visualize a skops object and show untrusted types by using skops.io.visualize(). For colored output, install rich: pip install rich. #317 by Benjamin Bossan.
Fix issue with persisting numpy.random.Generator using the skops format (the object could be loaded correctly but security could not be checked). #331 by Benjamin Bossan.

Add CLI entrypoint support (cli.entrypoint.main_cli()) and a command line function to convert Pickle files to Skops files (cli._convert.main()). #249 by Erin Aho
Support more array-like data types for tabular data and list-like data types for text data. #179 by Francesco Cariaggi.
Add an option use_intelex to skops.hub_utils.init() which, when enabled, will result in the Hugging Face inference API running with Intel’s scikit-learn intelex library, which can accelerate inference times. #267 by Benjamin Bossan.
Model cards that have been written into a markdown file can now be parsed back into a skops.card.Card object and edited further by using the skops.card.parse_modelcard() function. #257 by Benjamin Bossan.

io.dump() and io.load() now work with file like objects, which means you can use them with the with open(...) as f: dump(obj, f) pattern, like you’d do with pickle. #234 by Benjamin Bossan.
All scikit-learn estimators are trusted by default. #237 by Edoardo Abati.
Add model_format argument to skops.hub_utils.init() to be stored in config.json so that we know how to load a model from the repository. #242 by Merve Noyan.
Persistence now supports bytes and bytearrays, added tests to verify that LightGBM, XGBoost, and CatBoost work now. #244 by Benjamin Bossan.
card.Card now allows to add content to existing sections, using a / to separate the subsections. E.g. use card.add(**{"Existing section/New section": "content"}) to add “content” a new subsection called “New section” to an existing section called “Existing section”. #203 by Benjamin Bossan.

Utility function to add arbitrary files to be uploaded to the hub by using hub_utils.add_files(). #123 by Benjamin Bossan.
Add private as an optional argument to skops.hub_utils.push() to optionally set the visibility status of a repo when pushing to the hub. #130 by Adrin Jalali.
First release of the skops secure persistence feature (#128) by Adrin Jalali and Benjamin Bossan. Visit Secure persistence with skops for more information. This feature is not production ready yet but we’re happy to receive feedback from users.
Fix a bug that resulted in markdown tables being rendered incorrectly if entries contained line breaks. #156 by Benjamin Bossan.
Raise an error instead of warning the user if a given model file is empty. #214 by Adrin Jalali.
Use huggingface_hub v0.10.1 for model cards, drop modelcards dependency. #162 by Benjamin Bossan.
Add source links to API documentation. #172 by Ayyuce Demirbas.
Add support to load model if given Path/str to model argument in skops.card . #205 by Prajjwal Mishra.

Tables, e.g. cross-validation results, can now be added to model cards using the Card.add_table() method. #90 by Benjamin Bossan.
Add method Card.render() which returns the model card as a string. #94 by Benjamin Bossan.
Make skops.hub_utils.init() atomic. Now it doesn’t leave a trace on the filesystem if it fails for some reason. #60 by Adrin Jalali
When adding figures or tables, it’s now possible to set folded=True to render the content inside a details tag. #108 by Benjamin Bossan.
Add skops.hub_utils.get_model_output() to get the model’s output using The Hugging Face Hub’s inference API, and return an array with the outputs. #105 by Adrin Jalali.

This is the first release of the library. It include two main modules:

skops.hub_utils: tools to create a model repository to be stored on Hugging Face Hub, mainly through skops.hub_utils.init() and skops.hub_utils.push().
skops.card: tools to create a model card explaining what the model does and how it should be used. The model card can then be stored as the README.md file on the Hugging Face Hub, with pre-populated metadata to help Hub understand the model.