cv_loop_train_iter: A function to train a model with CV
View source: R/classifier_train.R
| cv_loop_train_iter | R Documentation |
A function to train a model with CV
Description
A function to train a model with CV
Usage
cv_loop_train_iter( ii, data, cls, stratify = NA, fitControl, resampling_rate, n_features, filter_method, filter_threshold_score, filter_threshold_diff, filter_direction, observation_weights, feature_weights )
Arguments
ii |
integer (probably not needed) |
data |
input matrix, of dimension nobs x nvars; each row is an
observation vector. Since this is an input to |
cls |
class labels |
fitControl |
A list of training parameters. See
|
resampling_rate |
... |
n_features |
... |
filter_method |
... |
filter_threshold_score |
... |
filter_threshold_diff |
... |
filter_direction |
... |
feature_uniform |
... |
feature_weighted |
... |
Value
a trained model - a list of training parameters (see above), fitted model, and selected features
