R: moDel Agnostic Language for Exploration and eXplanation

# moDel Agnostic Language for Exploration and eXplanation

## Documentation for package ‘DALEX’ version 2.5.3

- DESCRIPTION file

## Help Pages

A C D E F G H I L M P S T U V Y

## -- A --

apartments | Apartments Data
apartmentsTest | Apartments Data
apartments_test | Apartments Data

## -- C --

colors_breakdown_drwhy | DrWhy color palettes for ggplot objects
colors_discrete_drwhy | DrWhy color palettes for ggplot objects
colors_diverging_drwhy | DrWhy color palettes for ggplot objects
covid | Data for early COVID mortality
covid_spring | Data for early COVID mortality
covid_summer | Data for early COVID mortality

## -- D --

dragons | Dragon Data
dragons_test | Dragon Data

## -- E --

explain | Create Model Explainer
explain.default | Create Model Explainer

## -- F --

feature_importance | Dataset Level Variable Importance as Change in Loss Function after Variable Permutations
fifa | FIFA 20 preprocessed data

## -- G --

get_loss_default | Calculate Loss Functions
get_loss_one_minus_accuracy | Calculate Loss Functions
get_loss_yardstick | Wrapper for Loss Functions from the yardstick Package

## -- H --

happiness | World Happiness Report data
happiness_test | World Happiness Report data
happiness_train | World Happiness Report data
HR | Human Resources Data
HRTest | Human Resources Data
HR_test | Human Resources Data

## -- I --

individual_diagnostics | Instance Level Residual Diagnostics
individual_profile | Instance Level Profile as Ceteris Paribus
install_dependencies | Install all dependencies for the DALEX package

## -- L --

loss_accuracy | Calculate Loss Functions
loss_cross_entropy | Calculate Loss Functions
loss_default | Calculate Loss Functions
loss_one_minus_accuracy | Calculate Loss Functions
loss_one_minus_auc | Calculate Loss Functions
loss_root_mean_square | Calculate Loss Functions
loss_sum_of_squares | Calculate Loss Functions
loss_yardstick | Wrapper for Loss Functions from the yardstick Package

## -- M --

model_diagnostics | Dataset Level Model Diagnostics
model_info | Exract info from model
model_info.cv.glmnet | Exract info from model
model_info.default | Exract info from model
model_info.gbm | Exract info from model
model_info.glm | Exract info from model
model_info.glmnet | Exract info from model
model_info.lm | Exract info from model
model_info.lrm | Exract info from model
model_info.model_fit | Exract info from model
model_info.randomForest | Exract info from model
model_info.ranger | Exract info from model
model_info.rpart | Exract info from model
model_info.svm | Exract info from model
model_info.train | Exract info from model
model_parts | Dataset Level Variable Importance as Change in Loss Function after Variable Permutations
model_performance | Dataset Level Model Performance Measures
model_prediction | Predictions for the Explainer
model_profile | Dataset Level Variable Profile as Partial Dependence or Accumulated Local Dependence Explanations

## -- P --

plot.list | Plot List of Explanations
plot.model_diagnostics | Plot Dataset Level Model Diagnostics
plot.model_parts | Plot Variable Importance Explanations
plot.model_performance | Plot Dataset Level Model Performance Explanations
plot.model_profile | Plot Dataset Level Model Profile Explanations
plot.predict_diagnostics | Plot Instance Level Residual Diagnostics
plot.predict_parts | Plot Variable Attribution Explanations
plot.predict_profile | Plot Variable Profile Explanations
plot.shap_aggregated | Plot Generic for Break Down Objects
predict.explainer | Predictions for the Explainer
predict_diagnostics | Instance Level Residual Diagnostics
predict_parts | Instance Level Parts of the Model Predictions
predict_parts_break_down | Instance Level Parts of the Model Predictions
predict_parts_break_down_interactions | Instance Level Parts of the Model Predictions
predict_parts_ibreak_down | Instance Level Parts of the Model Predictions
predict_parts_kernel_shap | Instance Level Parts of the Model Predictions
predict_parts_kernel_shap_aggreagted | Instance Level Parts of the Model Predictions
predict_parts_kernel_shap_break_down | Instance Level Parts of the Model Predictions
predict_parts_oscillations | Instance Level Parts of the Model Predictions
predict_parts_oscillations_emp | Instance Level Parts of the Model Predictions
predict_parts_oscillations_uni | Instance Level Parts of the Model Predictions
predict_parts_shap | Instance Level Parts of the Model Predictions
predict_parts_shap_aggregated | Instance Level Parts of the Model Predictions
predict_profile | Instance Level Profile as Ceteris Paribus
print.description | Print Natural Language Descriptions
print.explainer | Print Explainer Summary
print.model_diagnostics | Print Dataset Level Model Diagnostics
print.model_info | Print model_info
print.model_performance | Print Dataset Level Model Performance Summary
print.model_profile | Print Dataset Level Model Profile
print.predict_diagnostics | Print Instance Level Residual Diagnostics

## -- S --

set_theme_dalex | Default Theme for DALEX plots
shap_aggregated | SHAP aggregated values
single_variable | Dataset Level Variable Profile as Partial Dependence or Accumulated Local Dependence Explanations

## -- T --

theme_default_dalex | Default Theme for DALEX plots
theme_drwhy | DrWhy Theme for ggplot objects
theme_drwhy_vertical | DrWhy Theme for ggplot objects
theme_ema | DrWhy Theme for ggplot objects
theme_ema_vertical | DrWhy Theme for ggplot objects
theme_vertical_default_dalex | Default Theme for DALEX plots
titanic | Passengers and Crew on the RMS Titanic Data
titanic_imputed | Passengers and Crew on the RMS Titanic Data

## -- U --

update_data | Update data of an explainer object
update_label | Update label of explainer object

## -- V --

variable_attribution | Instance Level Parts of the Model Predictions
variable_effect | Dataset Level Variable Effect as Partial Dependency Profile or Accumulated Local Effects
variable_effect_accumulated_dependency | Dataset Level Variable Effect as Partial Dependency Profile or Accumulated Local Effects
variable_effect_partial_dependency | Dataset Level Variable Effect as Partial Dependency Profile or Accumulated Local Effects
variable_importance | Dataset Level Variable Importance as Change in Loss Function after Variable Permutations
variable_profile | Dataset Level Variable Profile as Partial Dependence or Accumulated Local Dependence Explanations

## -- Y --

yhat | Wrap Various Predict Functions
yhat.cv.glmnet | Wrap Various Predict Functions
yhat.default | Wrap Various Predict Functions
yhat.function | Wrap Various Predict Functions
yhat.gbm | Wrap Various Predict Functions
yhat.glm | Wrap Various Predict Functions
yhat.glmnet | Wrap Various Predict Functions
yhat.lm | Wrap Various Predict Functions
yhat.lrm | Wrap Various Predict Functions
yhat.model_fit | Wrap Various Predict Functions
yhat.party | Wrap Various Predict Functions
yhat.randomForest | Wrap Various Predict Functions
yhat.ranger | Wrap Various Predict Functions
yhat.rpart | Wrap Various Predict Functions
yhat.svm | Wrap Various Predict Functions
yhat.train | Wrap Various Predict Functions