Descriptive mAchine Learning EXplanations

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Documentation for package ‘DALEX’ version 0.4.4

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apartments Apartments Data
apartmentsTest Apartments Data
apartments_test Apartments Data
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
dragons Dragon Data
dragons_test Dragon Data
explain Create Model Explainer
explain.default Create Model Explainer
feature_response Marginal Response for a Single Feature
feature_response.default Marginal Response for a Single Feature
feature_response.explainer Marginal Response for a Single Feature
HR Human Resources Data
HRTest Human Resources Data
HR_test Human Resources Data
install_dependencies Install all dependencies for the DALEX package
loss_accuracy Preimplemented Loss Functions
loss_cross_entropy Preimplemented Loss Functions
loss_root_mean_square Preimplemented Loss Functions
loss_sum_of_squares Preimplemented Loss Functions
model_performance Model Performance Plots
plot.feature_response_explainer Plots Marginal Model Explanations (Single Variable Responses)
plot.model_performance_explainer Model Performance Plots
plot.prediction_breakdown_explainer Plots Local Explanations (Single Prediction)
plot.variable_importance_explainer Plots Global Model Explanations (Variable Importance)
plot.variable_response_explainer Plots Marginal Model Explanations (Single Variable Responses)
predict.explainer Wrapper over the predict function
prediction_breakdown Explanations for a Prediction Breakdown
print.explainer Prints Explainer Summary
print.model_performance_explainer Model Performance Summary
single_prediction Explanations for a Prediction Breakdown
single_variable Marginal Response for a Single Variable
theme_drwhy DrWhy Theme for ggplot objects
theme_drwhy_colors DrWhy color palettes for ggplot objects
theme_drwhy_colors_break_down DrWhy color palettes for ggplot objects
theme_drwhy_vertical DrWhy Theme for ggplot objects
theme_mi2 MI^2 Theme
titanic Passengers and Crew on the RMS Titanic
variable_dropout Feature Importance Calculated as Loss from Feature Dropout
variable_importance Feature Importance Calculated as Loss from Feature Dropout
variable_response Marginal Response for a Single Variable
yhat Wrapper over the predict function
yhat.cv.glmnet Wrapper over the predict function
yhat.default Wrapper over the predict function
yhat.glm Wrapper over the predict function
yhat.glmnet Wrapper over the predict function
yhat.H2OBinomialModel Wrapper over the predict function
yhat.H2ORegressionModel Wrapper over the predict function
yhat.lm Wrapper over the predict function
yhat.model_fit Wrapper over the predict function
yhat.randomForest Wrapper over the predict function
yhat.ranger Wrapper over the predict function
yhat.svm Wrapper over the predict function
yhat.train Wrapper over the predict function
yhat.WrappedModel Wrapper over the predict function