epochs_early_stopping |
Positive integer (default is NULL ). The training stops if there has been no
improvement in the validation IWAE for epochs_early_stopping epochs. If the user wants the training process
to be solely based on this training criterion, then epochs in explain() should be set to a large
number. If NULL , then shapr will internally set epochs_early_stopping = vaeac.epochs such that early
stopping does not occur.
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verbose |
String vector or NULL.
Specifies the verbosity (printout detail level) through one or more of strings "basic" , "progress" ,
"convergence" , "shapley" and "vS_details" .
"basic" (default) displays basic information about the computation which is being performed,
in addition to some messages about parameters being sets or checks being unavailable due to specific input.
"progress displays information about where in the calculation process the function currently is.
#' "convergence" displays information on how close to convergence the Shapley value estimates are
(only when iterative = TRUE ) .
"shapley" displays intermediate Shapley value estimates and standard deviations (only when iterative = TRUE )
and the final estimates.
"vS_details" displays information about the v_S estimates.
This is most relevant for approach %in% c("regression_separate", "regression_surrogate", "vaeac" ).
NULL means no printout.
Note that any combination of four strings can be used.
E.g. verbose = c("basic", "vS_details") will display basic information + details about the v(S)-estimation process.
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