Ceteris Paribus Profiles (What-If Plots) are designed to present model responses around selected points in a feature space. For example around a single prediction for an interesting observation. Plots are designed to work in a model-agnostic fashion, they are working for any predictive Machine Learning model and allow for model comparisons. Ceteris Paribus Plots supplement the Break Down Plots from 'breakDown' package.
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.calculate_oscillations() that calculates variable
importance measures for a single observation.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.ceteris_paribus() function from ver 0.2 is now avaliable as what_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.