Dalex

----------------------------------------------------------------
* New versions of `yhat` for `ranger` and `svm` models.

----------------------------------------------------------------
* Residual distribution plots for model performance are now more legible when multiple models are plotted. The styling of plot and axis titles have also been improved (kevinykuo).
* The defaults of `single_prediction()` are now consistent with `breakDown::broken()`. Specifically, `baseline` is now `0` by default instead of `"Intercept"`. The user can also specify the `baseline` and other arguments by passing them to `single_prediction` (kevinykuo, [39](https://github.com/pbiecek/DALEX/issues/39)). **WARNING:** Change in the default value of `baseline`.
* New `yhat.*` functions help to handle additional parameters to different `predict()` functions.
* Updated `CITATION` info

----------------------------------------------------------------
* New dataset `HR` and `HRTest`. Target variable is a factor with three levels. Is used in examples for classification.
* The `plot.model_performance()` has now `show_outliers` parameter. Set it to anything >0 and observations with largest residuals will be presented in the plot. ([34](https://github.com/pbiecek/DALEX/issues/34))

----------------------------------------------------------------
* Small fixes in `variable_response()` to better support of `gbm` models (c8393120ffb05e2f3c70b0143c4e92dc91f6c823).
* Better title for `plot_model_performance()` (e5e61d0398459b78ea38ccc980c4040fd853f449).
* Tested with `breakDown` v 0.1.6.

----------------------------------------------------------------
* The `single_variable() / variable_response()` function uses `predict_function` from `explainer` ([17](https://github.com/pbiecek/DALEX/issues/17))

----------------------------------------------------------------
* The `explain()` function converts `tibbles` to `data.frame` when specified as `data` argument ([15](https://github.com/pbiecek/DALEX/issues/15))
* The default generic `explain.default()` should help when `explain()` from `dplyr` is loaded after `DALEX` ([16](https://github.com/pbiecek/DALEX/issues/16))