Visibility: public Uploaded 22-12-2015 by Jan van Rijn Weka_3.7.13 1 runs
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  • Verified_Learning_Curve weka weka_3.7.13
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Weka implementation of HMM


CCovariance Type: whether the covariances of gaussian outputs should be full matrices or limited to diagonal or spherical matrices
DTied Covariance: whether the covariances of gaussian outputs are tied to be the same across all outputs
IIteration Cutoff: the proportional minimum change of likelihood at which to stop the EM iteractions
LLeft Right: whether the state transitions are constrained to go only to the next state in numerical order
RRandom Initialisation: whether the state transition probabilities are intialized randomly (if this is false they are initialised by performing a k-means clustering on the data)
SStates: number of HMM states to use


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