split_train_test: Create training-testing data splits for crossvalidation.
In juoe/sdmflow: Flexible Workflows for Species Distribution Modeling
Description
Usage
Arguments
Value
View source: R/split_train_test.R
Description
Create training-testing data splits for crossvalidation.
Usage
1
split_train_test(data, method = "kfold", ...)
Arguments
data
A (sf) data frame.
method
Either "kfold", "loo", "mc", "cluster" or "grid".
...
Arguments passed on to the resampling functions.
Value
A data frame with n / prod(n) rows and columns test and train.
test and train are list-columns containing resample objects.
juoe/sdmflow documentation built on Feb. 23, 2020, 7:38 p.m.
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Description Usage Arguments Value
View source: R/split_train_test.R
Description
Create training-testing data splits for crossvalidation.
Usage
1 | split_train_test(data, method = "kfold", ...)
|
Arguments
data |
A (sf) data frame. |
method |
Either "kfold", "loo", "mc", "cluster" or "grid". |
... |
Arguments passed on to the resampling functions. |
Value
A data frame with n / prod(n) rows and columns test and train.
test and train are list-columns containing resample objects.
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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