14. What’s new

14.1. Julearn 0.3.1 (2024-01-23)

Bugfixes

• Add BaseEstimator to ConfoundRemoval for Target by Sami Hamdan (#151)

• Skip wrapping scorers when target transformers can inverse transform and avoid logging filtered warnings by Fede Raimondo (#236)

• Fix alternative parameter not being used in the corrected t-test Fede Raimondo (#245)

• Fix hyperparameter not being set in PipelineCreator.add when an object is used as model, by Fede Raimondo (#247)

Improved Documentation

• Fix cross-referencing links in documentation by Synchon Mandal (#168)

• Standardize Sphinx section and header ordering format by Synchon Mandal (#234)

• Improve documentation language, fix typos and code snippets by Synchon Mandal (#235)

Enhancements

• Make CBPM use sum by default by Sami Hamdan (#170)

Features

• Add support for multiple grids in hyperparameter tuning by Fede Raimondo (#47)

Misc

• Adopt ruff as the only linter for the codebase by Synchon Mandal (#231)

• Improve codespell support and fix typos in documentation by Synchon Mandal (#232)

• Adopt pre-commit for adding and managing git pre-commit hooks by Synchon Mandal (#233)

14.2. Julearn 0.3.0 (2023-07-19)

The general API and behavior of Julearn has been changed to make it easier to define and use pipelines. The documentation has been updated to reflect these changes. Basic functionality from the previous API is still present. However, it might require setting a few more parameters in the run_cross_validation() function.

14.3. Julearn 0.2.5 (2022-07-21)

API Changes

• Make API surrounding registering consistently use overwrite by Sami Hamdan

• Inner cv needs to be provided using search_params. Deprecating cv in model_params by Sami Hamdan (#146)

• Add n_jobs and verbose to run_cross_validation by Sami Hamdan

Bugfixes

• Fix a hyperparameters setting issue where the parameter had an iterable of only one element by Sami Hamdan (#96)

• Fix installations instruction for latest development version (add --pre) by Fede Raimondo

• Fix target transformers that only normal transformers are wrapped by Sami Hamdan (#94)

• Fix compatibility with new scikit-learn release 0.24 by Sami Hamdan (#108)

• Fix compatibility with multiprocessing in scikit-learn by Sami Hamdan

• Raise error message when columns in the dataframe are nos strings by Fede Raimondo (#77)

• Fix not implemented bug for decision_function in ExtendedDataFramePipeline by Sami Hamdan (#135)

• Fix Bug in the transformer wrapper implementation by Sami Hamdan (#122)

• Fix Bug Target Transformer missing BaseEstimator by Sami Hamdan (#151)

• Fix Bug of showing Warnings when using confound removal by Sami Hamdan (#152)

• Fix Bug registered scorer not working in dictionary for scoring by Sami Hamdan

Improved Documentation

• Add What’s new section in DOC to document changes by Fede Raimondo

• Add information on updating the What’s new section before releasing by Fede Raimondo

• Update docs to make it more uniform by Kaustubh Patil

• Add example for tranform_until by Shammi More (#63)

• Add documentation/example for parallelization by Sami Hamdan

Enhancements

• Bump minimum python version to 3.7 by Fede Raimondo

• Refactor scoring to allow for registering and callable scorers by Sami Hamdan

• Update model_selection and add capabilities to register searchers by Sami Hamdan

• Update default behavior of setting inner cv according to scikit-learn instead of using outer cv as default by Sami Hamdan

• Add tests and more algorithms to DynamicSelection by Sami Hamdan and Shammi More

Features

• Add user facing create_pipeline function by Sami Hamdan

• Add CV schemes for stratifying continuous variables, useful for regression problems. Check ContinuousStratifiedKFold and RepeatedContinuousStratifiedKFold by Fede Raimondo and Shammi More

• Add CBPM transformer by Sami Hamdan

• Add register_model by Sami Hamdan (#105)