himamo

v0.1.0

himamo v0.1.0 Himamo.Model.Pi

Defines initial state distribution.

Initial state distribution, commonly denoted by π, defines the probability that the model will start in state S_i.

  • i ∈ [0, N) where N is the total number of states.

Examples 

iex> pi = Himamo.Model.Pi.new([0.3, 0.2, 0.5])
...> Himamo.Model.Pi.get(pi, 1)
0.2

Summary

Types

list_of_probabilities()
t()

Functions

get(pi, i)

Returns probability of model starting in state S_i

new(probs)

Creates a representation of the initial state probabilities

Types 

t :: %Himamo.Model.Pi{n: term, probs: tuple}

Functions

get(pi, i)

Specs

get(Himamo.Model.Pi.t, Himamo.Model.state) :: Himamo.Model.probability

Returns probability of model starting in state S_i.

new(probs)

Specs

new(list_of_probabilities) :: Himamo.Model.Pi.t

Creates a representation of the initial state probabilities.