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View Code? Open in Web Editor NEWA Hidden Markov Model implemented in Javascript
License: MIT License
A Hidden Markov Model implemented in Javascript
License: MIT License
Hi Sumolari,
I've checked out "hmm" library with my node.js app, initializing with a very simple samples but the Viterbi approximation doesn't seem to work. Following is my sample snippets to train the model:
(Given this.hmm = require('hmm.js');)
var _model = new this.hmm(
['red','yellow','green'], // States
'green', // Final state
['go','stop'], // Observation symbols (emissions)
{'red':0.8,'green':0.2}, // Initial state probabilities
{ // State transitions
'go':{'go':0.3,'stop':0.7},
'stop':{'stop':0.8,'go':0.2}
},
{ // State emissions
'red':{'stop':0.9,'go':0.1},
'yellow':{'stop':0.5,'go':0.5},
'green':{'go':1}
}
);
var testSequence = ['go','stop','go'];
// Probability of states
console.log('Generation prob: '+_model.generationProbability(testSequence));
The resultant Viterbi path and approximated probability is always undefined and absolutely zero accordingly. I've thought my samples were too complicated at the first place so I tried your sample as given in the README.md. It doesn't work though. I can't train the model.
Please can you give me advice how to train and use the model properly?
.\node_modules/coffee-script/bin/coffee -c -o lib src
it give error and unable to install
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