trainPartition: Perform one iteration of model training on a portion of the...
In Sage-Bionetworks/predictiveModeling: The predictive modeling package allows users to write custom predictive models or use off-the-shelf models via caret, and compare their performance.
Description
Usage
Arguments
Value
Author(s)
Description
Perform one iteration of model training on a portion of
the data
Usage
1
2
trainPartition(testIndices, featureData, responseData,
model, trControl = defaultTrainControl(), ...)
Arguments
testIndices
featureData
responseData
method
either an instance of PredictiveModel or a
string holding the name of one of the machine learning
methods that caret supports
trControl
defaults to defaultTrainControl
Value
an instance of PredictiveModelResults
Author(s)
Nicole Deflaux
Sage-Bionetworks/predictiveModeling documentation built on May 9, 2019, 12:12 p.m.
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Description Usage Arguments Value Author(s)
Description
Perform one iteration of model training on a portion of the data
Usage
1 2 | trainPartition(testIndices, featureData, responseData,
model, trControl = defaultTrainControl(), ...)
|
Arguments
testIndices |
|
featureData |
|
responseData |
|
method |
either an instance of PredictiveModel or a string holding the name of one of the machine learning methods that caret supports |
trControl |
defaults to defaultTrainControl |
Value
an instance of PredictiveModelResults
Author(s)
Nicole Deflaux
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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