makeFixedHoldoutInstance: Generate a fixed holdout instance for resampling.
In mlr: Machine Learning in R
View source: R/HoldoutInstance_make_fixed.R
makeFixedHoldoutInstance R Documentation
Generate a fixed holdout instance for resampling.
Description
Generate a fixed holdout instance for resampling.
Usage
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).
mlr documentation built on June 22, 2024, 10:51 a.m.
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View source: R/HoldoutInstance_make_fixed.R
| makeFixedHoldoutInstance | R Documentation |
Generate a fixed holdout instance for resampling.
Description
Generate a fixed holdout instance for resampling.
Usage
makeFixedHoldoutInstance(train.inds, test.inds, size)
Arguments
train.inds |
(integer) |
test.inds |
(integer) |
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.
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