API for NorskRegnesentral/shapr
Explain the Output of Machine Learning Models with more Accurately Estimated Shapley Values

Global functions
.onLoad Source code
aicc_full_cpp Man page Source code
aicc_full_single_cpp Man page Source code
compute_AICc_each_k Source code
compute_AICc_full Source code
correction_matrix_cpp Man page Source code
distance_matrix Source code
error_feature_labels Source code
explain Man page Source code
explain.combined Man page Source code
explain.copula Man page Source code
explain.empirical Man page Source code
explain.gaussian Man page Source code
explainer_x_test Source code
feature_combinations Man page Source code
feature_exact Source code
feature_matrix_cpp Man page Source code
feature_not_exact Source code
features Man page Source code
features.default Man page Source code
features.gam Man page Source code
features.glm Man page Source code
features.lm Man page Source code
features.ranger Man page Source code
features.xgb.Booster Man page Source code
gaussian_transform Man page Source code
gaussian_transform_separate Man page Source code
get_list_approaches Man page Source code
hat_matrix_cpp Man page Source code
helper_feature Source code
inv_gaussian_transform Man page Source code
mahalanobis_distance_cpp Man page Source code
message_features_labels Source code
model_type Man page Source code
model_type.default Man page Source code
model_type.gam Man page Source code
model_type.glm Man page Source code
model_type.lm Man page Source code
model_type.ranger Man page Source code
model_type.xgb.Booster Man page Source code
observation_impute Man page Source code
observation_impute_cpp Man page Source code
plot.shapr Man page Source code
predict_model Man page Source code
predict_model.default Man page Source code
predict_model.gam Man page Source code
predict_model.glm Man page Source code
predict_model.lm Man page Source code
predict_model.ranger Man page Source code
predict_model.xgb.Booster Man page Source code
prediction Man page Source code
prepare_data Man page Source code
prepare_data.copula Man page Source code
prepare_data.empirical Man page Source code
prepare_data.gaussian Man page Source code
rss_cpp Man page Source code
sample_combinations Man page Source code
sample_copula Man page Source code
sample_features_cpp Source code
sample_gaussian Man page Source code
shapley_weights Man page Source code
shapr Man page Source code
unique_features Source code
weight_matrix Man page Source code
weight_matrix_cpp Man page Source code
NorskRegnesentral/shapr documentation built on July 20, 2020, 8:01 p.m.