trainHMM: Train Hidden Markov Model (trainHMM)
In jcpetkovich/rspatiotemp:
Description
Usage
Arguments
Value
Description
Train Hidden Markov Models using the Baum Welch Algorithm
Usage
1
trainHMM(ObsSeq, obsAlphabetSize, hidAlphabetSize)
Arguments
ObsSeq
A discrete observed time series. Output from toWPDSAX.
obsAlphabetSize
The alphabet size of the observed sequence.
hidAlphabetSize
The alphabet size of the hidden sequence.
Value
The probability matrices, mean, standard deviation vectors and the final failure state of the hidden markov model.
jcpetkovich/rspatiotemp documentation built on May 18, 2019, 10:26 p.m.
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Description Usage Arguments Value
Description
Train Hidden Markov Models using the Baum Welch Algorithm
Usage
1 | trainHMM(ObsSeq, obsAlphabetSize, hidAlphabetSize)
|
Arguments
ObsSeq |
A discrete observed time series. Output from toWPDSAX. |
obsAlphabetSize |
The alphabet size of the observed sequence. |
hidAlphabetSize |
The alphabet size of the hidden sequence. |
Value
The probability matrices, mean, standard deviation vectors and the final failure state of the hidden markov model.
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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