testHMM: Test a hidden Markov model
In TLBC: Two-Level Behavior Classification
Description
Usage
Arguments
Author(s)
See Also
Description
Function to apply a HMM classifier to some data.
Usage
1
Arguments
predDir
Path to a directory containing predictions made by the random forest classiifer (i.e., the saveDir argument of testRF).
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.
names
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 HMM classifier to some data.
Usage
1 |
Arguments
predDir |
Path to a directory containing predictions made by the random forest classiifer (i.e., the saveDir argument of |
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. |
names |
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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