Introduction

Here we present 2D What If plots.

First, an example for regression model.

##      m2.price construction.year surface floor no.rooms    district
## 1001     4644              1976     131     3        5 Srodmiescie
wi_rf_2d <- what_if_2d(explainer_rf, observation = new_apartment)
wi_rf_2d
##      y_hat new_x1 new_x2            vname1  vname2        label
## 1 4899.536   1920   20.0 construction.year surface randomForest
## 2 4896.920   1920   21.3 construction.year surface randomForest
## 3 4900.060   1920   22.6 construction.year surface randomForest
## 4 4900.187   1920   23.9 construction.year surface randomForest
## 5 4901.809   1920   25.2 construction.year surface randomForest
## 6 4896.952   1920   26.5 construction.year surface randomForest

And an example for classification.

##   gender      age    hours evaluation salary status
## 1   male 32.58267 41.88626          3      1  fired
wi_rf_2d <- what_if_2d(explainer_rf_fired, observation = new_emp)
wi_rf_2d
##     y_hat   new_x1   new_x2 vname1 vname2 label
## 1   0.472 20.00389 35.00000    age  hours fired
## 1.1 0.524 20.00389 35.44978    age  hours fired
## 1.2 0.582 20.00389 35.89955    age  hours fired
## 1.3 0.570 20.00389 36.34933    age  hours fired
## 1.4 0.540 20.00389 36.79911    age  hours fired
## 1.5 0.582 20.00389 37.24889    age  hours fired