Man pages for shapr
Prediction Explanation with Dependence-Aware Shapley Values

aicc_full_cppAICc formula for several sets, alternative definition
aicc_full_single_cppTemp-function for computing the full AICc with several X's...
apply_dummiesApply dummy variables - this is an internal function intended...
check_featuresChecks that two extracted feature lists have exactly the same...
correction_matrix_cppcorrection term with trace_input in AICc formula
create_ctreeMake all conditional inference trees
explainExplain the output of machine learning models with more...
feature_combinationsDefine feature combinations, and fetch additional information...
feature_matrix_cppGet feature matrix
gaussian_transformTransforms a sample to standardized normal distribution
gaussian_transform_separateTransforms new data to standardized normal (dimension 1)...
get_data_specsFetches feature information from a given data set
get_list_approachesHelper function used in 'explain.combined'
get_model_specsFetches feature information from a given model object
get_supported_modelsProvides a data.table with the supported models
hat_matrix_cppComputing single H matrix in AICc-function using the...
inv_gaussian_transformTransforms new data to a standardized normal distribution
mahalanobis_distance_cpp(Generalized) Mahalanobis distance
make_dummiesInitiate the making of dummy variables
model_checkerCheck that the type of model is supported by the explanation...
observation_imputeGenerate permutations of training data using test...
observation_impute_cppGet imputed data
plot.shaprPlot of the Shapley value explanations
predictionCalculate Shapley weights for test data
predict_modelGenerate predictions for different model classes
prepare_dataGenerate data used for predictions
preprocess_dataProcess (check and update) data according to specified...
rss_cppsigma_hat_sq-function
sample_combinationsHelper function to sample a combination of training and...
sample_copulaSample conditional variables using the Gaussian copula...
sample_ctreeSample ctree variables from a given conditional inference...
sample_gaussianSample conditional Gaussian variables
shapley_weightsCalculate Shapley weight
shaprCreate an explainer object with Shapley weights for test...
update_dataUpdates data by reference according to the updater argument.
weight_matrixCalculate weighted matrix
weight_matrix_cppCalculate weight matrix
shapr documentation built on Jan. 28, 2021, 5:06 p.m.