Dalex

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* Fixed R package not working with Python Explainer ([318](https://github.com/ModelOriented/DALEX/issues/318))
* Fixed `model_diagnostics()` returning an error when `y_hat` or `residuals` is of `array` class ([319](https://github.com/ModelOriented/DALEX/issues/319))
* Fixed grid lines in `theme_drwhy` on Windows
* Fixed logical values in y rising unnecessery warnings for classification task ([336](https://github.com/ModelOriented/DALEX/issues/336))

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* `plot.predict_diagnostics` now passess ellipsis to `plot.ceteris_paribus_explainer`
* This version requires `iBreakDown v1.3.1` and `ingredients v1.3.1`
* Fixed `plot.predict_parts` and `plot.model_profile` ([277](https://github.com/ModelOriented/DALEX/issues/277)).
* Fixed `plot.model_profile` for multiple profiles ([237](https://github.com/ModelOriented/DALEX/issues/237)).
* External tests for not suggested packages added to gh-actions ([237](https://github.com/ModelOriented/DALEX/issues/276)).
* Extended and refreshed documentation ([237](https://github.com/ModelOriented/DALEX/issues/276)).
* All dontrun statements changed to donttest according to CRAN policy.
* Added value for `s` parameter in `yhat.glmnet` and `yhat.cv.glmnet`.
* Fixed `model_diagnostics` passing wrong arguments to residual_function.
* Fixed aesthetic for `hist` geometry in `plot.model_performance` using wrong arugments.
* `model_performance` will not work if `model_info$type` is `NULL`.
* Corrected description of `N` in `model_parts` ([287](https://github.com/ModelOriented/DALEX/issues/287)).
* New warning messages for `y` parameter in `explain` function.
* Solved bug in `yhat.ranger` causing `predicts_parts` not to plot correctly when task is multiclass.
* `variable_effect` is now deprecated

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* fixed typo in `predict_parts_oscillations_emp`
* rewrite tests

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* added `predict_parts` class to objects and `plot.predict_parts` function
* added `model_parts` class to objects and `plot.model_parts` function
* plot parameters added to the documentation
* Now in the `predict_profile` function one can specify how grid points shall be calculated, see `variable_splits_type` ([267](https://github.com/ModelOriented/DALEX/issues/266)).
* The `predict_part` function has two new options for type: `oscillations_uni` and `oscillations_emp` ([267](https://github.com/ModelOriented/DALEX/issues/267)).
* The `plot.model_performance` function has a new `geom="prc"` for Precision Recall curve ([273](https://github.com/ModelOriented/DALEX/issues/273)).

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* `DALEX` now fully supports multiclass classification.
* `explain()` will use new residual function (1 - true class probability) if multiclass classification is detected.
* `model_performance()` now support measures for multiclass classification.
* Remove `ggpubr` from suggests.
* `lossFunction` argument is now deprecated in `plot.model_performance()`. Use the `loss_function` argument.
* `model_profile` color changed to `colors_discrete_drwhy(1)` which impacts the color of the line in `plot.model_profile`
* `loss_name` attribute added to loss functions. It will be passed to plot function for objects created with `model_parts`.

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* fixed tests and WARNINGs on CRAN
* `model_profile` for Accumulated Local rofiles by default use centering (`center = TRUE`)
* deprecate `n_sample` argument in `model_parts` (now it's `N`) ([175](https://github.com/ModelOriented/DALEX/issues/175))