train_preds: Outer training fold predictions
In nestedcv: Nested Cross-Validation with 'glmnet' and 'caret'
train_preds R Documentation
Outer training fold predictions
Description
Obtain predictions on outer training folds which can be used for performance
metrics and ROC curves.
Usage
train_preds(x)
Arguments
x
a nestcv.glmnet, nestcv.train or outercv fitted object
Details
Note: the argument outer_train_predict must be set to TRUE in
the original call to either nestcv.glmnet, nestcv.train or outercv.
Value
Dataframe with columns ytrain and predy containing observed and
predicted values from training folds. For binomial and multinomial models
additional columns are added with class probabilities or log likelihood
values.
nestedcv documentation built on April 4, 2025, 2:21 a.m.
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| train_preds | R Documentation |
Outer training fold predictions
Description
Obtain predictions on outer training folds which can be used for performance metrics and ROC curves.
Usage
train_preds(x)
Arguments
x |
a |
Details
Note: the argument outer_train_predict must be set to TRUE in
the original call to either nestcv.glmnet, nestcv.train or outercv.
Value
Dataframe with columns ytrain and predy containing observed and
predicted values from training folds. For binomial and multinomial models
additional columns are added with class probabilities or log likelihood
values.
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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