Fixed some docstrings in `params.rs`

pull/68/head
Meliurwen 2 years ago
parent 616d5ec3d5
commit ccced92149
Signed by: meliurwen
GPG Key ID: 818A8B35E9F1CE10
  1. 43
      reCTBN/src/params.rs

@ -23,9 +23,8 @@ pub enum StateType {
Discrete(usize),
}
/// Parameters
/// The Params trait is the core element for building different types of nodes. The goal is to
/// define the set of method required to describes a generic node.
/// This is a core element for building different types of nodes; the goal is to define the set of
/// methods required to describes a generic node.
#[enum_dispatch(Params)]
pub trait ParamsTrait {
fn reset_params(&mut self);
@ -65,8 +64,8 @@ pub trait ParamsTrait {
fn get_label(&self) -> &String;
}
/// The Params enum is the core element for building different types of nodes. The goal is to
/// define all the supported type of Parameters
/// Is a core element for building different types of nodes; the goal is to define all the
/// supported type of Parameters
#[derive(Clone)]
#[enum_dispatch]
pub enum Params {
@ -76,14 +75,14 @@ pub enum Params {
/// DiscreteStatesContinousTime.
/// This represents the parameters of a classical discrete node for ctbn and it's composed by the
/// following elements:
/// - **domain**: an ordered and exhaustive set of possible states
/// - **cim**: Conditional Intensity Matrix
/// - **Sufficient Statistics**: the sufficient statistics are mainly used during the parameter
/// learning task and are composed by:
/// - **transitions**: number of transitions from one state to another given a specific
/// realization of the parent set
/// - **residence_time**: permanence time in each possible states given a specific
/// realization of the parent set
/// - `label`
/// - `domain`: an ordered and exhaustive set of possible states.
/// - `cim`: Conditional Intensity Matrix.
/// - `transitions`: number of transitions from one state to another given a specific realization
/// of the parent set; is a sufficient statistics are mainly used during the parameter learning
/// task.
/// - `residence_time`: permanence time in each possible state, given a specific realization of the
/// parent set; is a sufficient statistics are mainly used during the parameter learning task.
#[derive(Clone)]
pub struct DiscreteStatesContinousTimeParams {
label: String,
@ -109,10 +108,12 @@ impl DiscreteStatesContinousTimeParams {
&self.cim
}
///Setter function for CIM.\\
///This function check if the cim is valid using the validate_params method.
///- **Valid cim inserted**: it substitute the CIM in self.cim and return Ok(())
///- **Invalid cim inserted**: it replace the self.cim value with None and it retu ParamsError
/// Setter function for CIM.
///
/// This function check if the CIM is valid using the validate_params method:
/// - **Valid CIM inserted**: it substitute the CIM in self.cim and return `Ok(())`.
/// - **Invalid CIM inserted**: it replace the self.cim value with None and it returns
/// `ParamsError`.
pub fn set_cim(&mut self, cim: Array3<f64>) -> Result<(), ParamsError> {
self.cim = Some(cim);
match self.validate_params() {
@ -129,22 +130,22 @@ impl DiscreteStatesContinousTimeParams {
self.cim = Some(cim);
}
///Getter function for transitions
/// Getter function for transitions.
pub fn get_transitions(&self) -> &Option<Array3<usize>> {
&self.transitions
}
///Setter function for transitions
/// Setter function for transitions.
pub fn set_transitions(&mut self, transitions: Array3<usize>) {
self.transitions = Some(transitions);
}
///Getter function for residence_time
/// Getter function for residence_time.
pub fn get_residence_time(&self) -> &Option<Array2<f64>> {
&self.residence_time
}
///Setter function for residence_time
///Setter function for residence_time.
pub fn set_residence_time(&mut self, residence_time: Array2<f64>) {
self.residence_time = Some(residence_time);
}

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