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.
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v2 minor update.
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Minor update: console library version.
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v4 - added some error overloads with custom message to handle some cases.
Incredible story behind in this algo and a incredible share here, goes hand in hand with the baumwelch posted -- i recommend modifying w/ pine objects to use to all passerby gl