All functions |
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Computes |
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Explain the output of machine learning models with more accurately estimated Shapley values |
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Explain a forecast from a time series model using Shapley values. |
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Define feature combinations, and fetch additional information about each unique combination |
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Computes the Shapley values given |
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get_cov_mat |
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Set up data for explain_forecast |
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get_mu_vec |
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Gets the implemented approaches |
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Lag a matrix of variables a specific number of lags for each variables. |
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Plot of the Shapley value explanations |
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Plots of the MSEv Evaluation Criterion |
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Shapley value bar plots for several explanation objects |
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Treat factors as numeric values |
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Set up exogenous regressors for explanation in a forecast model. |
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Auxiliary function for the vaeac vignette |
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check_setup |
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Set up the framework chosen approach |
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Sets up everything for the Shapley values computation in |
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Function to set up data loaders and save file names |
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Extract the Training VLB and Validation IWAE from a list of explanations objects using the vaeac approach |
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Function to specify the extra parameters in the |
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Plot the training VLB and validation IWAE for |
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Plot Pairwise Plots for Imputed and True Data |
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Train the Vaeac Model |
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Continue to Train the vaeac Model |