NEWS

---

ceterisParibus 0.4.3

• Now in the ceteris_paribus function one can specify how grid points shall be calculated, see variable_splits_type

ceterisParibus 0.4.2 (2020-03-28)

• Updated test to reflect changes in the new R 4.0

ceterisParibus 0.3.1 (2019-01-29)

• The what_if_2d() function plots 2D ceteris paribus plots. This function returns an object of the class what_if_2d. One can use generic print() or plot() to show these profiles. Note that profiles for all pairs of variables are generated, thus it may be a time consuming operation if number of variables is high.
• New function calculate_oscillations() that calculates variable importance measures for a single observation.

ceterisParibus 0.3

• The ceteris_paribus() function now covers a very flexible grammar for visual exploration of black box models. See https://pbiecek.github.io/DALEX_docs/5-ceterisParibus.html#ceterisParibus for more details.
• The ceteris_paribus() function from ver 0.2 is now avaliable as what_if(). Here is where the development of older version will take place.