dot-getPredictions: Worker function for fitting prediction functions (possibly in...
In benkeser/cvtmleAUC: Cross-validated TML estimates of cross-validated area under the receiver operating characteristic curve
Description
Usage
Arguments
Value
Description
Worker function for fitting prediction functions (possibly in parallel)
Usage
1
2
.getPredictions(learner, Y, X, K = 10, folds, parallel,
nested_cv = FALSE, nested_K = K - 1)
Arguments
learner
The wrapper to use
Y
The outcome
X
The predictors
K
The number of folds
parallel
Whether to compute things in parallel using future
Value
A list of the result of the wrapper executed in each fold
benkeser/cvtmleAUC documentation built on May 16, 2019, 2:30 a.m.
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Description Usage Arguments Value
Description
Worker function for fitting prediction functions (possibly in parallel)
Usage
1 2 | .getPredictions(learner, Y, X, K = 10, folds, parallel,
nested_cv = FALSE, nested_K = K - 1)
|
Arguments
learner |
The wrapper to use |
Y |
The outcome |
X |
The predictors |
K |
The number of folds |
parallel |
Whether to compute things in parallel using future |
Value
A list of the result of the wrapper executed in each fold
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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