This internal function is used to validate the parameters specified on the control parameter.
mni.control(
mni_trials = 1,
mni_n_folds = 10,
mni_n_trees = 1,
mni_size = 0.01,
mni_start = 0.05,
mni_numvals = 50,
...
)The number of times the process is repeated i.e. how many times the n-fold cross-validation process is repeated. The resulting value of min_node_impurity is the mean of mni_trials trials. The default value is 1.
The number of folds to use when evaluating values of min_node_impurity. Any integer value in the range 1 to the number of observations in the training dataset is accepted. The default value is 10.
The number of trees to use when evaluating values of min_node_impurity. At the time of writing the only allowable value is 1. The default value is 1.
After a value of min_node_impurity is tried, the next value is calculated by adding mni_size to the previous value. A value in the range 0.001 to 0.10 is accepted. The default value is 0.01.
The first value of min_node_impurity to be evaluated. A value in the range 0.001 to 1.0 is accepted. The default value is 0.05.
The number of min_node_impurity values to try while attempting to find the optimum. Any integer value in the range 1 to 1000 is accepted. The default value is 50.
parameter catch all.
Returns a list of all validated parameters.
The following parameters are supported: