Library "FunctionProbabilityViterbi"
The Viterbi Algorithm calculates the most likely sequence of hidden states *(called Viterbi path)*
that results in a sequence of observed events.
viterbi(observations, transitions, emissions, initial_distribution)
Calculate most probable path in a Markov model.
Parameters:
observations (int): array<int> . Observation states data.
transitions (matrix<float>): matrix<float> . Transition probability table, (HxH, H:Hidden states).
emissions (matrix<float>): matrix<float> . Emission probability table, (OxH, O:Observed states).
initial_distribution (float): array<float> . Initial probability distribution for the hidden states.
Returns: array<int>. Most probable path.
The Viterbi Algorithm calculates the most likely sequence of hidden states *(called Viterbi path)*
that results in a sequence of observed events.
viterbi(observations, transitions, emissions, initial_distribution)
Calculate most probable path in a Markov model.
Parameters:
observations (int): array<int> . Observation states data.
transitions (matrix<float>): matrix<float> . Transition probability table, (HxH, H:Hidden states).
emissions (matrix<float>): matrix<float> . Emission probability table, (OxH, O:Observed states).
initial_distribution (float): array<float> . Initial probability distribution for the hidden states.
Returns: array<int>. Most probable path.
Notas de Lançamento:
v2 minor update.
Notas de Lançamento:
Minor update: console library version.