k_folds: k-fold cross-validation indices
In spcorum/tsmvr: Truly Sparse Multivariate Regression
Description
Usage
Arguments
Value
Note
Description
Produces k-fold partitions of training and validation indices for
a dataset.
Usage
1
Arguments
n
number of data points (integer valued numeric > 1)
k
number of k-folds (integer valued numeric > 1)
seed
sets random seed for reproducibility (numeric)
Value
A list of length two, each entry itself being a list of
length K containing the training (validation) indices.
Note
See also tsmvr_cv.
spcorum/tsmvr documentation built on Aug. 31, 2019, 8:58 p.m.
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Description Usage Arguments Value Note
Description
Produces k-fold partitions of training and validation indices for a dataset.
Usage
1 |
Arguments
n |
number of data points (integer valued numeric > 1) |
k |
number of k-folds (integer valued numeric > 1) |
seed |
sets random seed for reproducibility (numeric) |
Value
A list of length two, each entry itself being a list of
length K containing the training (validation) indices.
Note
See also tsmvr_cv.
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.
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