11. What’s new#

11.1. Julearn 0.2.5 (2022-07-21)#

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

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

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

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

Add user facing create_pipeline function by Sami Hamdan
Add CV schemes for stratifying continous 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)