cv_loop_train_iter: A function to train a model with CV
In skimlab/CCSBUtils: R Utilitiy Functions for CCSB
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 glmnet, it should be
the format that can be used with glmnet
cls
class labels
fitControl
A list of training parameters. See
caret::trainControl for detail
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
skimlab/CCSBUtils documentation built on March 30, 2022, 4:52 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.