Struct MarkovChain 

pub struct MarkovChain<T> { /* private fields */ }

Markov model structure

Implementations

impl<T> MarkovChain<T>

where T: Clone + Eq + Ord + PartialOrd + PartialEq,

pub fn from(elements: &[T]) -> MarkovChain<T>

Builds a new model from [&[T]].

T must implement Clone, Eq, Ord, PartialOrd and PartialEq traits.

pub fn next(&mut self) -> &T

Returns a next possible state.

The first state will be determined randomly, and the next one will be chosen by its state space.

If you want to initialize the chain of states, use initialize() methods.

pub fn next_rng(&mut self, rng: &mut ThreadRng) -> &T

Returns a next possible state using an external ThreadRng.

pub fn initialize(&mut self)

Initializes prev_index with the length of state_space.

Trait Implementations

impl<T: Debug> Debug for MarkovChain<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de, T> Deserialize<'de> for MarkovChain<T>

where T: Deserialize<'de>,

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl<T: PartialEq> PartialEq for MarkovChain<T>

fn eq(&self, other: &MarkovChain<T>) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<T> Serialize for MarkovChain<T>

where T: Serialize,

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl<T> StructuralPartialEq for MarkovChain<T>