svmLearning: svmLearning
In Mathias-Fuchs/simTestSize: determine optimal test set size for simulation studies
Description
Usage
Arguments
Value
Examples
Description
an example learning algorithm: logistic regression
Usage
1
svmLearning(trainingData)
Arguments
trainingData
the training data: a dataframe whose response column is labelled "y"
Value
a prediction rule in the form of a function that eats testing data and gives predictions
Examples
1
svmLearning(drawLogit(n=1000, effectSize=5))(drawLogit(n=1000, effectSize=5))
Mathias-Fuchs/simTestSize documentation built on May 7, 2019, 3:42 p.m.
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Description Usage Arguments Value Examples
Description
an example learning algorithm: logistic regression
Usage
1 | svmLearning(trainingData)
|
Arguments
trainingData |
the training data: a dataframe whose response column is labelled "y" |
Value
a prediction rule in the form of a function that eats testing data and gives predictions
Examples
1 | svmLearning(drawLogit(n=1000, effectSize=5))(drawLogit(n=1000, effectSize=5))
|
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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