split_train_test_sets: Split Problem into Train and Test Sets
In neuroimaginador/dl4ni: Deep Learning Flows for Neuroimaging
Description
Usage
Arguments
Value
Description
This function is used to split inputs and outputs of a problem definition into train and test sets.
Usage
1
split_train_test_sets(info, train_split = 0.75)
Arguments
info
(DLproblem object, as created by get_rpoblem_info) The information of the problem, with inputs and outputs.
train_split
(numeric) Fraction of the subjects to be used as training set, Default: 0.75
Value
The DLproblem completed with train and test sets.
neuroimaginador/dl4ni documentation built on May 3, 2019, 5:47 p.m.
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Description Usage Arguments Value
Description
This function is used to split inputs and outputs of a problem definition into train and test sets.
Usage
1 | split_train_test_sets(info, train_split = 0.75)
|
Arguments
info |
( |
train_split |
(numeric) Fraction of the subjects to be used as training set, Default: 0.75 |
Value
The DLproblem completed with train and test sets.
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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