testRF: Test a random forest classifier
In TLBC: Two-Level Behavior Classification
Description
Usage
Arguments
Author(s)
See Also
Description
Function to apply a random forest classifier to some data.
Usage
1
testRF(featDirs, modelName, saveDir, testNames)
Arguments
featDirs
Path to a directory (or list of directories) containing features, i.e., computed by the function sensorsToFeatures.
modelName
Path to pre-trained model.
saveDir
Path to a directory where predictions will be saved. Predictions will be saved in files named <identifier>.csv with two fields: timestamp, prediction.
testNames
List of participant identifiers to use.
Author(s)
Katherine Ellis
See Also
TLBC documentation built on May 1, 2019, 8:44 p.m.
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Description Usage Arguments Author(s) See Also
Description
Function to apply a random forest classifier to some data.
Usage
1 | testRF(featDirs, modelName, saveDir, testNames)
|
Arguments
featDirs |
Path to a directory (or list of directories) containing features, i.e., computed by the function sensorsToFeatures. |
modelName |
Path to pre-trained model. |
saveDir |
Path to a directory where predictions will be saved. Predictions will be saved in files named <identifier>.csv with two fields: timestamp, prediction. |
testNames |
List of participant identifiers to use. |
Author(s)
Katherine Ellis
See Also
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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