makeFixedHoldoutInstance: Generate a fixed holdout instance for resampling.
In guillermozbta/mir: Machine Learning in R
Description
Usage
Arguments
Value
Description
Generate a fixed holdout instance for resampling.
Usage
1
makeFixedHoldoutInstance(train.inds, test.inds, size)
Arguments
train.inds
[integer]
Indices for training set.
test.inds
[integer]
Indices for test set.
size
[integer(1)]
Size of the data set to resample.
The function needs to know the largest possible index of the whole data set.
Value
[ResampleInstance].
guillermozbta/mir documentation built on May 11, 2019, 6:27 p.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.
Description Usage Arguments Value
Description
Generate a fixed holdout instance for resampling.
Usage
1 | makeFixedHoldoutInstance(train.inds, test.inds, size)
|
Arguments
train.inds |
[ |
test.inds |
[ |
size |
[ |
Value
[ResampleInstance].
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.