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License: MIT License
mapkob (pronounced markov) is a simple tool to generate transition matrices and apply markov chain simulations for text
License: MIT License
Also consider what happens if it is not int he states but scanned for.
Maybe set it to 1 by default i.e. this.matrix[undefined][undefined] = 1;
Right now models are trained on which n-1 words follow the last word.
You should be able to train which n-base
words follow the last base
words.
word1 word2 word3 word4 word5
1 2 3 4 5
B T T T T // Base 1
B B T T T // Base 2
B B B T T // Base 3
B B B B T // Base 4
Requirement: 1 >= Base < n
mapkob.Row.prototype.sum generates
C:\Users\Robin\Desktop\mapkob.js:239
}, this).reduce(function(x, y) {
^
TypeError: Reduce of empty array with no initial value
at Array.reduce (native)
at mapkob.Row.sum (C:\Users\Robin\Desktop\mapkob.js:239:12)
at mapkob.Row.probabilities (C:\Users\Robin\Desktop\mapkob.js:251:18)
at mapkob.TransitionMatrix.generateChain (C:\Users\Robin\Desktop\mapkob.js:190:7)
at Object. (C:\Users\Robin\Desktop\mapkob.js:318:19)
at Module._compile (module.js:413:34)
at Object.Module._extensions..js (module.js:422:10)
at Module.load (module.js:357:32)
at Function.Module._load (module.js:314:12)
at Function.Module.runMain (module.js:447:10)
[Finished in 19.1s]
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