check_training_indices: Check the validity of the training indices
In SchlossLab/mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines
check_training_indices R Documentation
Check the validity of the training indices
Description
Check the validity of the training indices
Usage
check_training_indices(training_inds, dataset)
Arguments
training_inds
vector of integers corresponding to samples for the training set
dataset
data frame containing the entire dataset
Author(s)
Kelly Sovacool, sovacool@umich.edu
Examples
## Not run:
training_indices <- otu_small %>%
nrow() %>%
sample(., size = 160)
check_training_indices(training_indices, otu_small)
## End(Not run)
SchlossLab/mikropml documentation built on Aug. 24, 2023, 9:51 p.m.
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| check_training_indices | R Documentation |
Check the validity of the training indices
Description
Check the validity of the training indices
Usage
check_training_indices(training_inds, dataset)
Arguments
training_inds |
vector of integers corresponding to samples for the training set |
dataset |
data frame containing the entire dataset |
Author(s)
Kelly Sovacool, sovacool@umich.edu
Examples
## Not run:
training_indices <- otu_small %>%
nrow() %>%
sample(., size = 160)
check_training_indices(training_indices, otu_small)
## End(Not run)
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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