Issue | #Downvotes for this reason | By |
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C | Covariance Type: whether the covariances of gaussian outputs should be full matrices or limited to diagonal or spherical matrices | |
D | Tied Covariance: whether the covariances of gaussian outputs are tied to be the same across all outputs | |
I | Iteration Cutoff: the proportional minimum change of likelihood at which to stop the EM iteractions | |
L | Left Right: whether the state transitions are constrained to go only to the next state in numerical order | |
R | Random 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) | |
S | States: number of HMM states to use |