k_wblocks_cv: K-fold-week cross validation function.
In samirtouzani/GBMbaseline: Gradient boosting machine for building energy modeling
Description
Usage
Arguments
Value
Description
k_wblocks_cv splits the data into k folds by randomly selecting blocks of data,
where each block correspond to a calendar week.
Usage
1
k_wblocks_cv(Data, k_folds)
Arguments
Data
A dataframe.
k_folds
An integer that corresponds to the number of CV folds.
Value
A list of row indexes corresponding to the training data.
samirtouzani/GBMbaseline documentation built on May 29, 2019, 1:02 p.m.
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Description Usage Arguments Value
Description
k_wblocks_cv splits the data into k folds by randomly selecting blocks of data,
where each block correspond to a calendar week.
Usage
1 | k_wblocks_cv(Data, k_folds)
|
Arguments
Data |
A dataframe. |
k_folds |
An integer that corresponds to the number of CV folds. |
Value
A list of row indexes corresponding to the training data.
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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