survsrf_tune {survcompare} | R Documentation |
A repeated 3-fold CV over a hyperparameters grid
Description
A repeated 3-fold CV over a hyperparameters grid
Usage
survsrf_tune(
df_tune,
predict.factors,
repeat_tune = 1,
fixed_time = NaN,
tuningparams = list(),
max_grid_size = 10,
inner_cv = 3,
randomseed = NaN
)
Arguments
df_tune |
data |
predict.factors |
list of predictor names |
repeat_tune |
number of repeats |
fixed_time |
not used here, but for some models the time for which performance is optimized |
tuningparams |
if given, list of hyperparameters, list(mtry=c(), nodedepth=c(),nodesize=c()), otherwise a wide default grid is used |
max_grid_size |
number of random grid searches for model tuning |
inner_cv |
number of cross-validation folds for hyperparameter tuning |
randomseed |
to choose random subgroup of hyperparams |
Value
output=list(cindex_ordered, bestparams)
[Package survcompare version 0.3.0 Index]