tests/testthat/helper-objects.R

In ModelOriented/DALEX2: Descriptive mAchine Learning EXplanations

library(randomForest)
library(DALEX2)
library(tibble)

# models
model_classif_glm <- glm(factor(status)~., data = HR, family = "binomial")
model_classif_rf <- randomForest::randomForest(factor(status)~., data = HR, ntree = 50)
model_regr_rf <- randomForest::randomForest(m2.price~., data = apartments, ntree = 50)
model_regr_lm <- lm(m2.price~., data = apartments)

# explain()
p_fun_rf <- function(model, x) predict(model, x, type = "prob")[,2]
p_fun_glm <- function(model, x) predict(model, x, type = "response")
explainer_classif_rf  <- explain(model_classif_rf, data = HR, predict_function = p_fun_rf)
explainer_classif_glm  <- explain(model_classif_glm, data = HR, predict_function = p_fun_glm)
explainer_regr_rf <- explain(model_regr_rf, data = apartments_test[1:1000, ], y = apartments_test$m2.price[1:1000])
explainer_regr_rf_wo_y <- explain(model_regr_rf, data = apartments_test[1:1000, ])
explainer_regr_lm <- explain(model_regr_lm, data = apartments_test[1:1000, ], y = apartments_test$m2.price[1:1000])
explainer_wo_data  <- explain(model_classif_rf, data = NULL)