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HMMs with mixtures of Gaussians as emissions.
Optional features:
- fixing mixture components in training
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Methods
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__init__
__str__
getEmission
getEmissionProbability
logprob
setEmission
toMatrices
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__init__
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__init__ (
self,
emissionDomain,
distribution,
cmodel,
)
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__str__
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__str__ ( self )
defines string representation
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getEmission
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getEmission (
self,
i,
comp,
)
Return (mu, sigma^2, weight) of component comp in state i
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getEmissionProbability
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getEmissionProbability (
self,
value,
st,
)
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logprob
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logprob (
self,
emissionSequence,
stateSequence,
)
log P[ emissionSequence, stateSequence| m]
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Exceptions
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SequenceCannotBeBuild, "first symbol " + str(emissionSequence [ 0 ] ) + " not emitted by state " + str(stateSequence [ 0 ] )
SequenceCannotBeBuild, "symbol " + str(emissionSequence [ i + 1 ] ) + " not emitted by state " + str(stateSequence [ i + 1 ] )
TypeError, "EmissionSequence required, got " + str( emissionSequence.__class__.__name__ )
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setEmission
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setEmission (
self,
i,
comp,
(,
)
Set the emission distributionParameters for component comp in state i.
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toMatrices
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toMatrices ( self )
Return the parameters in matrix form.
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