Man pages for shapr
Prediction Explanation with Dependence-Aware Shapley Values
| aicc_full_cpp | AICc formula for several sets, alternative definition |
| aicc_full_single_cpp | Temp-function for computing the full AICc with several X's... |
| apply_dummies | Apply dummy variables - this is an internal function intended... |
| check_features | Checks that two extracted feature lists have exactly the same... |
| correction_matrix_cpp | correction term with trace_input in AICc formula |
| create_ctree | Make all conditional inference trees |
| explain | Explain the output of machine learning models with more... |
| feature_combinations | Define feature combinations, and fetch additional information... |
| feature_matrix_cpp | Get feature matrix |
| gaussian_transform | Transforms a sample to standardized normal distribution |
| gaussian_transform_separate | Transforms new data to standardized normal (dimension 1)... |
| get_data_specs | Fetches feature information from a given data set |
| get_list_approaches | Helper function used in 'explain.combined' |
| get_model_specs | Fetches feature information from a given model object |
| get_supported_models | Provides a data.table with the supported models |
| hat_matrix_cpp | Computing single H matrix in AICc-function using the... |
| inv_gaussian_transform | Transforms new data to a standardized normal distribution |
| mahalanobis_distance_cpp | (Generalized) Mahalanobis distance |
| make_dummies | Initiate the making of dummy variables |
| model_checker | Check that the type of model is supported by the explanation... |
| observation_impute | Generate permutations of training data using test... |
| observation_impute_cpp | Get imputed data |
| plot.shapr | Plot of the Shapley value explanations |
| prediction | Calculate Shapley weights for test data |
| predict_model | Generate predictions for different model classes |
| prepare_data | Generate data used for predictions |
| preprocess_data | Process (check and update) data according to specified... |
| rss_cpp | sigma_hat_sq-function |
| sample_combinations | Helper function to sample a combination of training and... |
| sample_copula | Sample conditional variables using the Gaussian copula... |
| sample_ctree | Sample ctree variables from a given conditional inference... |
| sample_gaussian | Sample conditional Gaussian variables |
| shapley_weights | Calculate Shapley weight |
| shapr | Create an explainer object with Shapley weights for test... |
| update_data | Updates data by reference according to the updater argument. |
| weight_matrix | Calculate weighted matrix |
| weight_matrix_cpp | Calculate weight matrix |
