- Now in the
ceteris_paribus
function one can specify how grid points shall be calculated, seevariable_splits_type
- Updated test to reflect changes in the new R 4.0
- The
what_if_2d()
function plots 2D ceteris paribus plots. This function returns an object of the classwhat_if_2d
. One can use genericprint()
orplot()
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.
- 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 aswhat_if()
. Here is where the development of older version will take place.
Please note, that what_if()
and local_fit()
functions are remainders from version 0.2 and they will be deprecated in version 0.4.
They will not be avaliable in version 1.0.
From version 0.3 the recommended way to create explainers is through the function ceteris_paribus()
.
Please note, that plot_interactive()
function will be deprecated in version 0.4.
It will not be avaliable in version 1.0.