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predict_profile.RHelper functions for predict_profile.R
Helper functions for predict_profile.R
surv_ceteris_paribus(x, ...)# S3 method for surv_explainer
surv_ceteris_paribus(
x,
new_observation,
variables = NULL,
categorical_variables = NULL,
variable_splits = NULL,
grid_points = 101,
variable_splits_type = "uniform",
center = FALSE,
output_type = "survival",
...
)
A data.frame containing the result of the calculation.
an explainer object - model preprocessed by the explain() function
other parameters, currently ignored
a new observation for which predictions need to be explained
character, names of the variables to be included in the calculations
character vector, names of variables that should be treated as categories (factors are included by default)
named list of splits for variables, in most cases created with internal functions. If NULL then it will be calculated based on validation data available in the explainer
maximum number of points for profile calculations. Note that the final number of points may be lower than grid_points. Will be passed to internal function. By default 101.
character, decides how variable grids should be calculated. Use "quantiles" for percentiles or "uniform" (default) to get uniform grid of points.