runCrossval: Compute the cross-validation emprirical and generalization...
In predomics/predomicspkg: Interpretable Prediction in Omics Data
runCrossval R Documentation
Compute the cross-validation emprirical and generalization scores
Description
Compute the cross-validation emprirical and generalization scores.
Usage
runCrossval(X, y, clf, lfolds = NULL, nfolds = 10, return.all = FALSE)
Arguments
X:
the data matrix with variables in the rows and observations in the columns
y:
the response vector
clf:
the classifier parameter object
nfolds:
the number of folds for the cross-validation
return.all:
return all results from the crossvalidation for feature stability testing
Value
a list containing empirical, generalisation scores for each fold as well as a matrix with the mean values.
predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.
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| runCrossval | R Documentation |
Compute the cross-validation emprirical and generalization scores
Description
Compute the cross-validation emprirical and generalization scores.
Usage
runCrossval(X, y, clf, lfolds = NULL, nfolds = 10, return.all = FALSE)
Arguments
X: |
the data matrix with variables in the rows and observations in the columns |
y: |
the response vector |
clf: |
the classifier parameter object |
nfolds: |
the number of folds for the cross-validation |
return.all: |
return all results from the crossvalidation for feature stability testing |
Value
a list containing empirical, generalisation scores for each fold as well as a matrix with the mean 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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