split_data: Splits the data in a hierarchical reserving model into a...
In jonascrevecoeur/hirem: Hierarchical reserving models
View source: R/data_management.R
Description
Splits the data in a hierarchical reserving model into a training, validation and test data set
Usage
1
split_data(obj, observed = NULL, validation = NULL, cv_fold = NULL)
Arguments
obj
The hierarchical reserving model
observed
This input can be
A data set to be used for training and validation
A function that extracts the observed data from the full data set
validation
This input can be
A data set to be used for validation
A function that extracts the validation data set from the observed data set
A number between zero and one, which expresses the fraction of the data that will be used for validation
cv_fold
Number of folds to be used in cross validation
jonascrevecoeur/hirem documentation built on Dec. 14, 2021, 3 p.m.
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View source: R/data_management.R
Description
Splits the data in a hierarchical reserving model into a training, validation and test data set
Usage
1 | split_data(obj, observed = NULL, validation = NULL, cv_fold = NULL)
|
Arguments
obj |
The hierarchical reserving model |
observed |
This input can be
|
validation |
This input can be
|
cv_fold |
Number of folds to be used in cross validation |
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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