Simple Markov chains implementation using Scala. The markov chain is designed as an immutable data structure.
You can train a markov chain from a sequence of steps. For example here we are training a Markov chain starting from a txt file and then generating random text with a random walk:
Using(scala.io.Source.fromFile("test.txt")) { file =>
val sequenceOfWords = file
.mkString
.split("\\s+")
.toList
.map(_.toLowerCase)
val markovChain = Markov4s.fromSequenceOfSteps(sequenceOfWords)
val numberOfSteps = 10
val initialState = "scala"
val randomPhrase = markovChain.randomWalk(initialState, numberOfSteps)
.walk
.mkString(" ")
}Otherwise you can build the Markov chain using the builder:
val chainBuilder = ChainBuilder[Int]()
.linkTo(1, 2, new Probability(3, 10))
.linkTo(1, 3, new Probability(7, 10))
.linkTo(2, 1, Probability.one)
.linkTo(3, 1, Probability.one)
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